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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparison of colon subtype CNV-expression association with DRAGON\n",
    "\n",
    "In this notebook we are reproducing the colon cancer subtype results of the \"Reproducible processing of TCGA regulatory\n",
    "networks\" paper.\n",
    "\n",
    "After generating CNV-expression DRAGON networks for CMS2 and CMS4 we proceed to analyze these\n",
    "networks. We are interested in investigating whether complex multi-omics associations can explain the different\n",
    "phenotypes of the four groups, and in particular the worse prognostics of CMS4.\n",
    "\n",
    "First we are going to import some packages and define some functions. Go to section [Read the data](#read-the-data)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: adjustText in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (1.2.0)\n",
      "Requirement already satisfied: numpy in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from adjustText) (2.1.3)\n",
      "Requirement already satisfied: matplotlib in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from adjustText) (3.9.2)\n",
      "Requirement already satisfied: scipy in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from adjustText) (1.14.1)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from matplotlib->adjustText) (1.3.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from matplotlib->adjustText) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from matplotlib->adjustText) (4.54.1)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from matplotlib->adjustText) (1.4.7)\n",
      "Requirement already satisfied: packaging>=20.0 in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from matplotlib->adjustText) (24.1)\n",
      "Requirement already satisfied: pillow>=8 in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from matplotlib->adjustText) (11.0.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from matplotlib->adjustText) (3.2.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from matplotlib->adjustText) (2.9.0.post0)\n",
      "Requirement already satisfied: six>=1.5 in /Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib->adjustText) (1.17.0)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.lines import Line2D\n",
    "\n",
    "import seaborn as sns\n",
    "import scipy.stats as stats\n",
    "import gseapy as gp\n",
    "import networkx as nx\n",
    "\n",
    "# this is necessary only for better label positioning\n",
    "!pip install adjustText"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_long_dragon(dragons):\n",
    "    \"\"\"melt all dragons\n",
    "    returns dataframe with melt dragons. \n",
    "    Pass a dictionary with dragons\"\"\"\n",
    "    \n",
    "    for k,key in enumerate(dragons.keys()):\n",
    "        \n",
    "        temp = dragons[key]\n",
    "        # Step 1: Create a mask for the upper triangular matrix excluding the diagonal\n",
    "        mask = np.triu(np.ones(temp.shape), k=1).astype(bool)\n",
    "\n",
    "        # Step 2: Apply the mask to filter the DataFrame\n",
    "        df_upper_tri = temp.where(mask)\n",
    "        \n",
    "        dragon = df_upper_tri.stack().reset_index()\n",
    "        print(dragon)\n",
    "        dragon.columns = ['node1', 'node2', key]\n",
    "        print(dragon)\n",
    "        if k==0:\n",
    "            df = dragon\n",
    "        else:\n",
    "            df = df.merge(dragon, on=['node1', 'node2'], how = 'outer')\n",
    "    return(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_pandas(panda_fn):\n",
    "    \"\"\"Read pandas dataframes\"\"\"\n",
    "    panda_data = {}\n",
    "    for key, datafn in panda_fn.items():\n",
    "        print(key)\n",
    "        panda_data[key] = pd.read_csv(datafn, sep = ' ', index_col = 0)\n",
    "    return(panda_data)\n",
    "\n",
    "def read_dragons(dragon_fn):\n",
    "    \"\"\"Read dragon dataframes\"\"\"\n",
    "    dragon_data = {}\n",
    "    for key, datafn in dragon_fn.items():\n",
    "        print(key)\n",
    "        dragon_data[key] = pd.read_csv(datafn, sep = '\\t', index_col = 0)\n",
    "    return(dragon_data)\n",
    "\n",
    "def get_indegree(panda_data, th = 0.5):\n",
    "    \"\"\"Get indegree (gene degree) for PANDA dataframes\"\"\"\n",
    "    df = pd.DataFrame()\n",
    "    for key, datafn in panda_data.items():\n",
    "        print(key)\n",
    "        temp = pd.DataFrame((datafn*1*(datafn>th)).sum(axis = 0))\n",
    "        temp = temp.rename(columns={0:key})\n",
    "        df = df.merge(temp, left_index=True, right_index=True, how = 'outer').fillna(-1)\n",
    "    return(df)\n",
    "        \n",
    "def get_outdegree(panda_data, th = 0.5):\n",
    "    \"\"\"Get outdegree (TF degree) for PANDA dataframes\"\"\"\n",
    "    df = pd.DataFrame()\n",
    "    for key, datafn in panda_data.items():\n",
    "        print(key)\n",
    "        temp = pd.DataFrame((datafn*1*(datafn>th)).sum(axis = 1))\n",
    "        temp = temp.rename(columns={0:key})\n",
    "        df = df.merge(temp, left_index=True, right_index=True, how = 'outer').fillna(-1)\n",
    "    return(df)\n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read the data\n",
    "\n",
    "First we need to specify the output folder and read the data\n",
    "\n",
    "For this notebook you'll need:\n",
    "- The gencode v26 gene mapping (needed to map gene names)\n",
    "- The CMS2 and CMS4 CNV-expression DRAGON networks\n",
    "- The preprocessed expression and CNV data\n",
    "\n",
    "You'll find all these data inside the data folder, alongside the code.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here specify the output folder and the input dragon matrices, dependending on where you saved them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Folder exists\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# specify the output folder\n",
    "output_folder = '../results/dragon-post-cnv/'\n",
    "# Check if folder exists\n",
    "if os.path.exists(output_folder):\n",
    "    print('Folder exists')\n",
    "else:\n",
    "    os.mkdir(output_folder)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "dragon_fn  = {\n",
    "             'cms2': '../data/processed/batch-coad-subtype-20250406/tcga_coad_cms2/analysis/dragon/tcga_coad_cms2_cnv_expression_dragon_mat.tsv',\n",
    "             'cms4': '../data/processed/batch-coad-subtype-20250406/tcga_coad_cms4/analysis/dragon/tcga_coad_cms4_cnv_expression_dragon_mat.tsv'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# order of subtypes\n",
    "subtype_order = ['cms2', 'cms4']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read the raw data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 486,
   "metadata": {},
   "outputs": [],
   "source": [
    "genemap_cms2 = pd.read_csv('/Users/violafanfani/Documents/uni-harvard/projects/tcga-coad-subtype/results/tcga_coad_cms2/data_download/cnv/cms2_gene_map.csv', index_col = 0)"
   ]
  },
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     "execution_count": 488,
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   "source": [
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   ]
  },
  {
   "cell_type": "code",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENSG00000185203.12_PAR_Y</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENSG00000182484.15_PAR_Y</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENSG00000227159.8_PAR_Y</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60623 rows × 84 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          TCGA-D5-5538-01A;TCGA-D5-5538-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-D5-6922-01A;TCGA-D5-6922-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-AZ-6605-11A;TCGA-AZ-6605-01A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-D5-6924-01A;TCGA-D5-6924-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-CM-5860-01A;TCGA-CM-5860-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-D5-6529-01A;TCGA-D5-6529-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-A6-2684-01A;TCGA-A6-2684-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-CM-6165-01A;TCGA-CM-6165-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-A6-A566-01A;TCGA-A6-A566-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-CK-4948-01B;TCGA-CK-4948-10A  ...  \\\n",
       "ENSG00000223972.5                                       NaN  ...   \n",
       "ENSG00000227232.5                                       NaN  ...   \n",
       "ENSG00000278267.1                                       NaN  ...   \n",
       "ENSG00000243485.5                                       NaN  ...   \n",
       "ENSG00000284332.1                                       NaN  ...   \n",
       "...                                                     ...  ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN  ...   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN  ...   \n",
       "ENSG00000185203.12_PAR_Y                                NaN  ...   \n",
       "ENSG00000182484.15_PAR_Y                                NaN  ...   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN  ...   \n",
       "\n",
       "                          TCGA-AA-3952-10A;TCGA-AA-3952-01A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-AA-A01K-01A;TCGA-AA-A01K-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-AZ-4308-10A;TCGA-AZ-4308-01A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-A6-4107-01A;TCGA-A6-4107-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-CM-5341-10A;TCGA-CM-5341-01A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-AA-3514-10A;TCGA-AA-3514-01A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-AA-3812-01A;TCGA-AA-3812-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-AA-3553-01A;TCGA-AA-3553-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-A6-3807-01A;TCGA-A6-3807-10A  \\\n",
       "ENSG00000223972.5                                       NaN   \n",
       "ENSG00000227232.5                                       NaN   \n",
       "ENSG00000278267.1                                       NaN   \n",
       "ENSG00000243485.5                                       NaN   \n",
       "ENSG00000284332.1                                       NaN   \n",
       "...                                                     ...   \n",
       "ENSG00000124334.17_PAR_Y                                NaN   \n",
       "ENSG00000270726.6_PAR_Y                                 NaN   \n",
       "ENSG00000185203.12_PAR_Y                                NaN   \n",
       "ENSG00000182484.15_PAR_Y                                NaN   \n",
       "ENSG00000227159.8_PAR_Y                                 NaN   \n",
       "\n",
       "                          TCGA-AA-3872-10A;TCGA-AA-3872-01A  \n",
       "ENSG00000223972.5                                       NaN  \n",
       "ENSG00000227232.5                                       NaN  \n",
       "ENSG00000278267.1                                       NaN  \n",
       "ENSG00000243485.5                                       NaN  \n",
       "ENSG00000284332.1                                       NaN  \n",
       "...                                                     ...  \n",
       "ENSG00000124334.17_PAR_Y                                NaN  \n",
       "ENSG00000270726.6_PAR_Y                                 NaN  \n",
       "ENSG00000185203.12_PAR_Y                                NaN  \n",
       "ENSG00000182484.15_PAR_Y                                NaN  \n",
       "ENSG00000227159.8_PAR_Y                                 NaN  \n",
       "\n",
       "[60623 rows x 84 columns]"
      ]
     },
     "execution_count": 497,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_cms2 = pd.read_csv('/Users/violafanfani/Documents/uni-harvard/projects/tcga-coad-subtype/results/tcga_coad_cms2/data_download/cnv/tcga_coad_cms2.csv', index_col = 0)\n",
    "raw_cms4 = pd.read_csv('/Users/violafanfani/Documents/uni-harvard/projects/tcga-coad-subtype/results/tcga_coad_cms4/data_download/cnv/tcga_coad_cms4.csv', index_col = 0)\n",
    "raw_cms4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_cms2.index = raw_cms2.index.map(genemap_cms2['gene_name'])\n",
    "raw_cms4.index = raw_cms4.index.map(genemap_cms2['gene_name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 575,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_raw_table_from_dragon(dragon_df, raw_df):\n",
    "    df_cols = pd.DataFrame(data = raw_df.columns, columns = ['raw_name'])\n",
    "    df_cols['raw1'] = df_cols['raw_name'].str.split(';').str[0]\n",
    "    df_cols['raw2'] = df_cols['raw_name'].str.split(';').str[1]\n",
    "    print(df_cols)\n",
    "    dragon_cols = dragon_df.index.tolist()\n",
    "    print(dragon_cols)\n",
    "    df_cols['match_raw1'] = [1+dragon_cols.index(i) if i in dragon_cols else 0 for i in df_cols['raw1']]\n",
    "    df_cols['match_raw2'] = [1+dragon_cols.index(i) if i in dragon_cols else 0 for i in df_cols['raw2']]\n",
    "    df_cols['dragon_cols_index'] = df_cols.match_raw1 + df_cols.match_raw2\n",
    "    df_cols['dragon_cols_index'] = df_cols['dragon_cols_index'].replace(0, np.nan)\n",
    "    df_cols['dragon_cols_index'] = df_cols['dragon_cols_index'].astype('Int64')-1\n",
    "    df_cols['dragon_cols'] = [dragon_cols[i] for i in df_cols['dragon_cols_index']]\n",
    "    df_cols = df_cols.dropna(subset = 'dragon_cols_index')\n",
    "    new_cms = raw_df.T\n",
    "    dragon_genes = [i.split('_')[0].replace('.','-') if ( ('.' in i) & ((not i.startswith('AC'))&(not i.startswith('ZNF8')))) else i.split('_')[0] for i in dragon_df.columns.tolist() if i.endswith('_cnv')]\n",
    "    print(dragon_genes)\n",
    "    new_cms = new_cms.loc[:,dragon_genes]\n",
    "    new_cms['barcode'] = new_cms.index.map(df_cols.loc[:,['raw_name','dragon_cols']].set_index('raw_name')['dragon_cols'])\n",
    "    \n",
    "    return(df_cols, new_cms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 543,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "barcode",
         "rawType": "object",
         "type": "string"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "4511d5f8-fd01-4d7f-acc1-258e1f54bcdd",
       "rows": [
        [
         "TCGA-D5-6532-01A;TCGA-D5-6532-10A",
         "TCGA-D5-6532-01A"
        ],
        [
         "TCGA-AD-6963-01A;TCGA-AD-6963-10A",
         "TCGA-AD-6963-01A"
        ],
        [
         "TCGA-A6-6138-01A;TCGA-A6-6138-10A",
         "TCGA-A6-6138-01A"
        ],
        [
         "TCGA-DM-A1D7-01A;TCGA-DM-A1D7-10A",
         "TCGA-DM-A1D7-01A"
        ],
        [
         "TCGA-AD-6965-10A;TCGA-AD-6965-01A",
         "TCGA-AD-6965-01A"
        ],
        [
         "TCGA-AD-A5EK-10A;TCGA-AD-A5EK-01A",
         "TCGA-AD-A5EK-01A"
        ],
        [
         "TCGA-CM-6166-01A;TCGA-CM-6166-10A",
         "TCGA-CM-6166-01A"
        ],
        [
         "TCGA-CM-5862-10A;TCGA-CM-5862-01A",
         "TCGA-CM-5862-01A"
        ],
        [
         "TCGA-CM-6161-10A;TCGA-CM-6161-01A",
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         "TCGA-A6-5656-01A"
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         "TCGA-A6-6648-01A"
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         "TCGA-D5-5540-01A"
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         "TCGA-CM-5864-01A"
        ],
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         "TCGA-A6-6140-01A;TCGA-A6-6140-10A",
         "TCGA-A6-6140-01A"
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         "TCGA-DM-A1DB-01A"
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         "TCGA-D5-6537-01A"
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         "TCGA-F4-6854-01A;TCGA-F4-6854-10A",
         "TCGA-F4-6854-01A"
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         "TCGA-G4-6307-10A;TCGA-G4-6307-01A",
         "TCGA-G4-6307-01A"
        ],
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         "TCGA-CM-6676-01A;TCGA-CM-6676-10A",
         "TCGA-CM-6676-01A"
        ],
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         "TCGA-G4-6294-10A;TCGA-G4-6294-01A",
         "TCGA-G4-6294-01A"
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         "TCGA-CM-6677-01A;TCGA-CM-6677-10A",
         "TCGA-CM-6677-01A"
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         "TCGA-CK-5915-01A;TCGA-CK-5915-10A",
         "TCGA-CK-5915-01A"
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        [
         "TCGA-A6-6652-10A;TCGA-A6-6652-01A",
         "TCGA-A6-6652-01A"
        ],
        [
         "TCGA-CA-6715-01A;TCGA-CA-6715-10A",
         "TCGA-CA-6715-01A"
        ],
        [
         "TCGA-CK-5912-01A;TCGA-CK-5912-10A",
         "TCGA-CK-5912-01A"
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         "TCGA-CM-6678-01A;TCGA-CM-6678-10A",
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        "rows": 108
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>barcode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TCGA-D5-6532-01A;TCGA-D5-6532-10A</th>\n",
       "      <td>TCGA-D5-6532-01A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-AD-6963-01A;TCGA-AD-6963-10A</th>\n",
       "      <td>TCGA-AD-6963-01A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-A6-6138-01A;TCGA-A6-6138-10A</th>\n",
       "      <td>TCGA-A6-6138-01A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-DM-A1D7-01A;TCGA-DM-A1D7-10A</th>\n",
       "      <td>TCGA-DM-A1D7-01A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-AD-6965-10A;TCGA-AD-6965-01A</th>\n",
       "      <td>TCGA-AD-6965-01A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-AA-3955-10A;TCGA-AA-3955-01A</th>\n",
       "      <td>TCGA-AA-3955-01A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-AA-3989-01A;TCGA-AA-3989-10A</th>\n",
       "      <td>TCGA-AA-3989-01A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-AA-3841-01A;TCGA-AA-3841-10A</th>\n",
       "      <td>TCGA-AA-3841-01A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-AA-3488-01A;TCGA-AA-3488-11A</th>\n",
       "      <td>TCGA-AA-3488-01A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCGA-AA-3848-10A;TCGA-AA-3848-01A</th>\n",
       "      <td>TCGA-AA-3848-01A</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            barcode\n",
       "TCGA-D5-6532-01A;TCGA-D5-6532-10A  TCGA-D5-6532-01A\n",
       "TCGA-AD-6963-01A;TCGA-AD-6963-10A  TCGA-AD-6963-01A\n",
       "TCGA-A6-6138-01A;TCGA-A6-6138-10A  TCGA-A6-6138-01A\n",
       "TCGA-DM-A1D7-01A;TCGA-DM-A1D7-10A  TCGA-DM-A1D7-01A\n",
       "TCGA-AD-6965-10A;TCGA-AD-6965-01A  TCGA-AD-6965-01A\n",
       "...                                             ...\n",
       "TCGA-AA-3955-10A;TCGA-AA-3955-01A  TCGA-AA-3955-01A\n",
       "TCGA-AA-3989-01A;TCGA-AA-3989-10A  TCGA-AA-3989-01A\n",
       "TCGA-AA-3841-01A;TCGA-AA-3841-10A  TCGA-AA-3841-01A\n",
       "TCGA-AA-3488-01A;TCGA-AA-3488-11A  TCGA-AA-3488-01A\n",
       "TCGA-AA-3848-10A;TCGA-AA-3848-01A  TCGA-AA-3848-01A\n",
       "\n",
       "[108 rows x 1 columns]"
      ]
     },
     "execution_count": 543,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newcms2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 576,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                              raw_name              raw1              raw2\n",
      "0    TCGA-D5-6532-01A;TCGA-D5-6532-10A  TCGA-D5-6532-01A  TCGA-D5-6532-10A\n",
      "1    TCGA-AD-6963-01A;TCGA-AD-6963-10A  TCGA-AD-6963-01A  TCGA-AD-6963-10A\n",
      "2    TCGA-A6-6138-01A;TCGA-A6-6138-10A  TCGA-A6-6138-01A  TCGA-A6-6138-10A\n",
      "3    TCGA-DM-A1D7-01A;TCGA-DM-A1D7-10A  TCGA-DM-A1D7-01A  TCGA-DM-A1D7-10A\n",
      "4    TCGA-AD-6965-10A;TCGA-AD-6965-01A  TCGA-AD-6965-10A  TCGA-AD-6965-01A\n",
      "..                                 ...               ...               ...\n",
      "103  TCGA-AA-3955-10A;TCGA-AA-3955-01A  TCGA-AA-3955-10A  TCGA-AA-3955-01A\n",
      "104  TCGA-AA-3989-01A;TCGA-AA-3989-10A  TCGA-AA-3989-01A  TCGA-AA-3989-10A\n",
      "105  TCGA-AA-3841-01A;TCGA-AA-3841-10A  TCGA-AA-3841-01A  TCGA-AA-3841-10A\n",
      "106  TCGA-AA-3488-01A;TCGA-AA-3488-11A  TCGA-AA-3488-01A  TCGA-AA-3488-11A\n",
      "107  TCGA-AA-3848-10A;TCGA-AA-3848-01A  TCGA-AA-3848-10A  TCGA-AA-3848-01A\n",
      "\n",
      "[108 rows x 3 columns]\n",
      "['TCGA-D5-6532-01A', 'TCGA-AD-6963-01A', 'TCGA-A6-6138-01A', 'TCGA-DM-A1D7-01A', 'TCGA-AD-6965-01A', 'TCGA-AD-A5EK-01A', 'TCGA-CM-6166-01A', 'TCGA-CM-5862-01A', 'TCGA-CM-6161-01A', 'TCGA-DM-A0XF-01A', 'TCGA-G4-6626-01A', 'TCGA-AA-3495-01A', 'TCGA-AA-3697-01A', 'TCGA-G4-6303-01A', 'TCGA-DM-A282-01A', 'TCGA-F4-6808-01A', 'TCGA-CM-6164-01A', 'TCGA-DM-A28H-01A', 'TCGA-CA-5797-01A', 'TCGA-AU-3779-01A', 'TCGA-A6-5667-01A', 'TCGA-QG-A5YV-01A', 'TCGA-A6-5656-01A', 'TCGA-A6-6648-01A', 'TCGA-AA-3660-01A', 'TCGA-A6-5660-01A', 'TCGA-CK-5914-01A', 'TCGA-D5-6533-01A', 'TCGA-DM-A1D0-01A', 'TCGA-A6-A567-01A', 'TCGA-AZ-6608-01A', 'TCGA-CM-6170-01A', 'TCGA-AD-6890-01A', 'TCGA-AD-6888-01A', 'TCGA-D5-5537-01A', 'TCGA-D5-5540-01A', 'TCGA-CM-5864-01A', 'TCGA-A6-6140-01A', 'TCGA-DM-A1DB-01A', 'TCGA-D5-6537-01A', 'TCGA-F4-6854-01A', 'TCGA-G4-6307-01A', 'TCGA-CM-6676-01A', 'TCGA-G4-6294-01A', 'TCGA-CM-6677-01A', 'TCGA-CK-5915-01A', 'TCGA-A6-6652-01A', 'TCGA-CA-6715-01A', 'TCGA-CK-5912-01A', 'TCGA-CM-6678-01A', 'TCGA-A6-5659-01A', 'TCGA-AA-3509-01A', 'TCGA-G4-6306-01A', 'TCGA-G4-6298-01A', 'TCGA-AZ-6603-01A', 'TCGA-G4-6295-01A', 'TCGA-A6-6650-01A', 'TCGA-AA-A01X-01A', 'TCGA-CA-6716-01A', 'TCGA-DM-A1D8-01A', 'TCGA-CA-5256-01A', 'TCGA-AA-3712-01A', 'TCGA-NH-A50T-01A', 'TCGA-G4-6317-01A', 'TCGA-A6-5666-01A', 'TCGA-A6-5662-01A', 'TCGA-AA-3519-01A', 'TCGA-AA-3517-01A', 'TCGA-AA-3976-01A', 'TCGA-AA-3819-01A', 'TCGA-AA-3858-01A', 'TCGA-A6-2677-01A', 'TCGA-AA-3856-01A', 'TCGA-AA-3531-01A', 'TCGA-A6-2680-01A', 'TCGA-AA-3844-01A', 'TCGA-AA-3679-01A', 'TCGA-AA-3667-01A', 'TCGA-AA-3979-01A', 'TCGA-AA-3678-01A', 'TCGA-AA-3975-01A', 'TCGA-AA-3494-01A', 'TCGA-AA-3534-01A', 'TCGA-AA-3846-01A', 'TCGA-AA-3542-01A', 'TCGA-AA-3529-01A', 'TCGA-AA-3831-01A', 'TCGA-AA-3972-01A', 'TCGA-AA-3855-01A', 'TCGA-AA-3971-01A', 'TCGA-AA-3986-01A', 'TCGA-AA-A02H-01A', 'TCGA-AA-A01S-01A', 'TCGA-AA-3524-01A', 'TCGA-AA-3552-01A', 'TCGA-AA-3696-01A', 'TCGA-AA-A00Z-01A', 'TCGA-AA-3561-01A', 'TCGA-AA-3688-01A', 'TCGA-AA-3562-01A', 'TCGA-AA-3980-01A', 'TCGA-AA-3970-01A', 'TCGA-AA-3693-01A', 'TCGA-AA-3955-01A', 'TCGA-AA-3989-01A', 'TCGA-AA-3841-01A', 'TCGA-AA-3488-01A', 'TCGA-AA-3848-01A']\n",
      "['SKI', 'HES5', 'PRDM16', 'TP73', 'HES3', 'HES2', 'ZBTB48', 'THAP3', 'CAMTA1', 'CENPS', 'CASZ1', 'PRDM2', 'SPEN', 'ZBTB17', 'PAX7', 'ZBTB40', 'ZNF436', 'E2F2', 'GRHL3', 'RUNX3', 'ZNF683', 'LIN28A', 'AHDC1', 'GMEB1', 'ZBTB8B', 'ZBTB8A', 'ZNF362', 'ZSCAN20', 'TFAP2E', 'MTF1', 'POU3F1', 'HEYL', 'MYCL', 'RLF', 'ZFP69B', 'ZFP69', 'ZNF684', 'NFYC', 'SCMH1', 'FOXO6', 'HIVEP3', 'FOXJ3', 'YBX1', 'ZNF691', 'KLF17', 'CCDC17', 'GPBP1L1', 'DMBX1', 'TAL1', 'FOXE3', 'FOXD2', 'DMRTA2', 'DMRTB1', 'GLIS1', 'MYSM1', 'JUN', 'NFIA', 'FOXD3', 'LHX8', 'ZZZ3', 'GTF2B', 'ZNF326', 'BARHL2', 'ZNF644', 'GFI1', 'MTF2', 'DR1', 'ALX3', 'NHLH2', 'TBX15', 'ZNF697', 'ARNT', 'SETDB1', 'ZNF687', 'RFX5', 'RORC', 'GATAD2B', 'CREB3L4', 'ZBTB7B', 'ASH1L', 'GLMP', 'MEF2D', 'ETV3L', 'ETV3', 'NHLH1', 'USF1', 'NR1I3', 'ATF6', 'PBX1', 'LMX1A', 'RXRG', 'POGK', 'POU2F1', 'TBX19', 'PRRX1', 'ZBTB37', 'LHX4', 'ZNF648', 'ZBTB41', 'LHX9', 'NR5A2', 'ZNF281', 'ASCL5', 'ELF3', 'KDM5B', 'MYOG', 'ZBED6', 'SOX13', 'ELK4', 'IRF6', 'ATF3', 'BATF3', 'PROX1', 'ESRRG', 'HLX', 'MIXL1', 'ZNF678', 'ZBTB18', 'SMYD3', 'AHCTF1', 'ZNF695', 'ZNF670', 'ZNF669', 'ZNF124', 'ZNF496', 'ZNF672', 'ZNF692', 'MYT1L', 'SOX11', 'GRHL1', 'KLF11', 'E2F6', 'MYCN', 'MSGN1', 'OSR1', 'NCOA1', 'CENPA', 'PREB', 'TCF23', 'ZNF513', 'ZNF512', 'FOSL2', 'CEBPZ', 'SIX3', 'SIX2', 'EPAS1', 'FOXN2', 'BCL11A', 'REL', 'OTX1', 'MEIS1', 'MXD1', 'FIGLA', 'VAX2', 'EMX1', 'NOTO', 'EGR4', 'TET3', 'LBX2', 'TLX2', 'KCMF1', 'TCF7L1', 'ATOH8', 'FOXI3', 'ZNF514', 'ZNF2', 'AC092835.1', 'KCNIP3', 'ARID5A', 'NPAS2', 'RFX8', 'POU3F3', 'ZC3H8', 'PAX8', 'FOXD4L1', 'EN1', 'GLI2', 'TFCP2L1', 'ZEB2', 'NR4A2', 'BAZ2B', 'TBR1', 'CSRNP3', 'SP5', 'DLX1', 'DLX2', 'SP3', 'SP9', 'ATF2', 'EVX2', 'HOXD13', 'HOXD12', 'HOXD11', 'HOXD10', 'HOXD9', 'HOXD8', 'HOXD3', 'HOXD4', 'HOXD1', 'NFE2L2', 'ZNF385B', 'NEUROD1', 'ZNF804A', 'STAT1', 'STAT4', 'SATB2', 'CARF', 'KLF7', 'CREB1', 'IKZF2', 'ZNF142', 'FEV', 'ANKZF1', 'PAX3', 'SP110', 'SP140', 'SP140L', 'SP100', 'TIGD1', 'GBX2', 'HES6', 'TWIST2', 'MTERF4', 'THAP4', 'BHLHE40', 'PPARG', 'NR2C2', 'RBSN', 'SATB1', 'ZNF385D', 'NR1D2', 'THRB', 'RARB', 'EOMES', 'ZNF860', 'UBP1', 'CSRNP1', 'ZNF619', 'ZNF620', 'ZNF621', 'ZBTB47', 'ZNF662', 'ZNF445', 'ZNF852', 'ZKSCAN7', 'ZNF660', 'ZNF197', 'ZNF35', 'ZNF502', 'ZNF501', 'LTF', 'ZNF589', 'HESX1', 'FEZF2', 'TMF1', 'MITF', 'FOXP1', 'ZNF717', 'POU1F1', 'CGGBP1', 'ZNF654', 'ZBTB11', 'BBX', 'ZBED2', 'USF3', 'ZNF80', 'ZBTB20', 'NR1I2', 'ARGFX', 'ZNF148', 'KLF15', 'ZXDC', 'GATA2', 'MBD4', 'SOX14', 'FOXL2', 'ZBTB38', 'TFDP2', 'PLSCR1', 'ZIC4', 'ZIC1', 'SHOX2', 'MECOM', 'MYNN', 'SKIL', 'ZNF639', 'SOX2', 'ETV5', 'BCL6', 'TP63', 'HES1', 'ZNF595', 'ZNF718', 'ZNF732', 'ZNF141', 'ZNF721', 'NKX1-1', 'MXD4', 'MSANTD1', 'ZBTB49', 'MSX1', 'HMX1', 'ZNF518B', 'NKX3-2', 'FAM200B', 'LCORL', 'RBPJ', 'KLF3', 'PHOX2B', 'NFXL1', 'GSX2', 'CLOCK', 'REST', 'THAP6', 'PRDM8', 'THAP9', 'LIN54', 'NKX6-1', 'TIGD2', 'ATOH1', 'NFKB1', 'CXXC4', 'TET2', 'LEF1', 'PITX2', 'NEUROG2', 'PRDM5', 'ELF2', 'SMAD1', 'ZNF827', 'POU4F2', 'NR3C2', 'TIGD4', 'HAND2', 'IRF2', 'HELT', 'ZFP42', 'AHRR', 'IRX4', 'IRX2', 'IRX1', 'PRDM9', 'ZNF131', 'ISL1', 'GPBP1', 'ZNF366', 'FOXD1', 'ZBED3', 'OTP', 'SPZ1', 'MEF2C', 'NR2F1', 'POU5F2', 'FAM170A', 'ZNF474', 'PRDM6', 'ZNF608', 'IRF1', 'TCF7', 'PITX1', 'NEUROG1', 'SMAD5', 'EGR1', 'CXXC5', 'PURA', 'NR3C1', 'POU4F3', 'TIGD6', 'CDX1', 'ZNF300', 'HAND1', 'SOX30', 'EBF1', 'FOXI1', 'TLX3', 'NKX2-5', 'MSX2', 'ZNF346', 'MXD3', 'PROP1', 'ZNF354A', 'ZNF354B', 'ZFP2', 'ZNF454', 'ZNF879', 'ZNF354C', 'ZFP62', 'IRF4', 'FOXQ1', 'FOXF2', 'FOXC1', 'RREB1', 'TFAP2A', 'GCM2', 'HIVEP1', 'E2F3', 'SOX4', 'ZNF322', 'ZNF391', 'ZNF184', 'ZNF165', 'ZSCAN16', 'ZKSCAN8', 'ZSCAN9', 'ZKSCAN4', 'ZSCAN26', 'ZSCAN31', 'ZKSCAN3', 'ZSCAN12', 'ZSCAN23', 'ZBED9', 'ZNF311', 'ZFP57', 'POU5F1', 'ZBTB12', 'ATF6B', 'PBX2', 'RXRB', 'ZBTB22', 'PHF1', 'ZBTB9', 'HMGA1', 'SPDEF', 'ZNF76', 'PPARD', 'TEAD3', 'ETV7', 'NFYA', 'FOXP4', 'TFEB', 'TRERF1', 'SRF', 'ZNF318', 'CDC5L', 'RUNX2', 'TFAP2D', 'TFAP2B', 'GCM1', 'ZNF451', 'HMGN3', 'TBX18', 'ZNF292', 'BACH2', 'POU3F2', 'PRDM13', 'SIM1', 'LIN28B', 'PRDM1', 'SCML4', 'NR2E1', 'FOXO3', 'ZBTB24', 'RFX6', 'HSF2', 'HEY2', 'L3MBTL3', 'TCF21', 'TBPL1', 'MYB', 'OLIG3', 'HIVEP2', 'PLAGL1', 'ZBTB2', 'ESR1', 'TBP', 'UNCX', 'MAFK', 'FOXK1', 'RBAK', 'ZNF853', 'ZNF316', 'ZNF12', 'ETV1', 'MEOX2', 'AHR', 'TWIST1', 'FERD3L', 'SP8', 'SP4', 'NFE2L3', 'HOXA1', 'HOXA2', 'HOXA3', 'HOXA4', 'HOXA5', 'HOXA6', 'HOXA7', 'HOXA9', 'HOXA10', 'HOXA11', 'HOXA13', 'EVX1', 'JAZF1', 'CREB5', 'NEUROD6', 'TBX20', 'POU6F2', 'GLI3', 'AEBP1', 'PURB', 'IKZF1', 'ZNF713', 'ZNF479', 'ZNF716', 'ZNF727', 'ZNF735', 'ZNF679', 'ZNF736', 'ZNF680', 'ZNF107', 'ZNF138', 'ZNF273', 'ZNF117', 'ZNF92', 'MLXIPL', 'GTF2IRD1', 'GTF2I', 'GTF2IRD2', 'GTF2IRD2B', 'DMTF1', 'ZNF804B', 'MTERF1', 'DLX6', 'DLX5', 'BHLHA15', 'ZNF789', 'ZNF394', 'ZKSCAN5', 'ZNF655', 'ZSCAN25', 'ZKSCAN1', 'ZSCAN21', 'ZNF3', 'CUX1', 'NFE4', 'HBP1', 'THAP5', 'ZNF277', 'FOXP2', 'TFEC', 'FEZF1', 'ZNF800', 'PAX4', 'IRF5', 'NRF1', 'KLF14', 'CHCHD3', 'CREB3L2', 'NOBOX', 'ZNF786', 'ZNF425', 'ZNF398', 'ZNF282', 'ZNF212', 'ZNF783', 'ZNF777', 'ZNF746', 'ZNF467', 'REPIN1', 'ZNF775', 'GBX1', 'EN2', 'MNX1', 'ZNF596', 'ZNF705G', 'ZNF705B', 'SOX7', 'GATA4', 'ZNF705D', 'EGR3', 'NKX3-1', 'NKX2-6', 'EBF2', 'ZNF395', 'HMBOX1', 'PURG', 'ZNF703', 'BRF2', 'ZMAT4', 'NKX6-3', 'THAP1', 'CEBPD', 'SNAI2', 'ST18', 'SOX17', 'PLAG1', 'BHLHE22', 'MYBL1', 'TCF24', 'PRDM14', 'NCOA2', 'MSC', 'TERF1', 'HNF4G', 'ZFHX4', 'HEY1', 'ZBTB10', 'ZNF704', 'E2F5', 'MTERF3', 'OSR2', 'ZNF706', 'GRHL2', 'KLF10', 'ZFPM2', 'TRPS1', 'ZHX2', 'ZHX1', 'ZNF572', 'POU5F1B', 'MYC', 'ZFAT', 'JRK', 'ZFP41', 'AC138696.1', 'GLI4', 'ZNF696', 'MAFA', 'TIGD5', 'ZNF623', 'ZNF707', 'SCX', 'HSF1', 'SCRT1', 'FOXH1', 'ZNF251', 'ZNF34', 'ZNF517', 'ZNF7', 'ZNF250', 'ZNF16', 'FOXD4', 'DMRT1', 'DMRT3', 'DMRT2', 'RFX3', 'GLIS3', 'NFIB', 'BNC2', 'DMRTA1', 'TOPORS', 'NFX1', 'ARID3C', 'CREB3', 'PAX5', 'ZBTB5', 'FOXD4L6', 'FOXD4L5', 'FOXD4L4', 'ZNF658', 'FOXD4L3', 'KLF9', 'RORB', 'FOXB2', 'NFIL3', 'ZNF484', 'BARX1', 'ZNF169', 'ZNF367', 'ZNF510', 'ZNF782', 'XPA', 'FOXE1', 'NR4A3', 'MSANTD3', 'ZNF189', 'TAL2', 'ZNF462', 'KLF4', 'ZNF483', 'ZNF883', 'ZNF883.1', 'ZFP37', 'ZNF618', 'AKNA', 'PHF19', 'LHX6', 'ZBTB6', 'ZBTB26', 'LHX2', 'NR5A1', 'NR6A1', 'PBX3', 'LMX1B', 'ZBTB43', 'ZBTB34', 'ZNF79', 'NAIF1', 'PRRX2', 'PRDM12', 'TTF1', 'BARHL1', 'GFI1B', 'REXO4', 'RXRA', 'SOHLH1', 'NACC2', 'LHX3', 'SNAPC4', 'KLF6', 'KIN', 'GATA3', 'PTF1A', 'MKX', 'ZNF438', 'ZEB1', 'CREM', 'ZNF248', 'ZNF25', 'ZNF33A', 'ZNF37A', 'ZNF33B', 'ZNF487', 'ZNF239', 'ZNF485', 'ZNF32', 'ZNF22', 'ZNF488', 'DRGX', 'ARID5B', 'ZNF365', 'EGR2', 'ATOH7', 'TET1', 'NEUROG3', 'ZNF503', 'HHEX', 'ZNF518A', 'LCOR', 'NKX2-3', 'PAX2', 'TLX1', 'LBX1', 'PITX3', 'NFKB2', 'PCGF6', 'MXI1', 'TCF7L2', 'VAX1', 'EMX2', 'IKZF5', 'HMX3', 'HMX2', 'NKX1-2', 'FOXI2', 'EBF3', 'NKX6-2', 'VENTX', 'ZNF511', 'IRF7', 'DEAF1', 'ASCL2', 'ZNF195', 'ZNF215', 'ZNF214', 'ASCL3', 'ZNF143', 'ZBED5', 'TEAD1', 'ARNTL', 'SOX6', 'MYOD1', 'E2F8', 'DBX1', 'PRMT3', 'PAX6', 'WT1', 'ELF5', 'EHF', 'RAG1', 'ALX4', 'PHF21A', 'CREB3L1', 'ZNF408', 'NR1H3', 'SPI1', 'ZFP91', 'MYRF', 'ZBTB3', 'C11orf95', 'ESRRA', 'BATF2', 'TIGD3', 'RELA', 'OVOL1', 'FOSL1', 'DRAP1', 'NPAS4', 'KDM2A', 'TBX10', 'ZNF705E', 'PHOX2A', 'THAP12', 'CREBZF', 'JRKL', 'PGR', 'MSANTD4', 'POU2AF1', 'ZBTB16', 'KMT2A', 'FOXR1', 'HINFP', 'POU2F3', 'BSX', 'ZNF202', 'PKNOX2', 'ETS1', 'FLI1', 'BARX2', 'PRDM10', 'ZBTB44', 'THYN1', 'FOXM1', 'TEAD4', 'ZNF384', 'NANOGNB', 'NANOG', 'FOXJ2', 'ZNF705A', 'YBX3', 'ETV6', 'CREBL2', 'AEBP2', 'SOX5', 'BHLHE41', 'ARNTL2', 'DBX2', 'ARID2', 'VDR', 'ZNF641', 'ATF1', 'CSRNP2', 'TFCP2', 'POU6F1', 'NR4A1', 'ZNF740', 'RARG', 'SP7', 'SP1', 'AC023509.3', 'ATF7', 'HOXC13', 'HOXC12', 'HOXC11', 'HOXC10', 'HOXC6', 'HOXC9', 'HOXC8', 'HOXC4', 'HOXC5', 'NFE2', 'ZNF385A', 'NEUROD4', 'IKZF4', 'PA2G4', 'STAT2', 'BAZ2A', 'ZBTB39', 'STAT6', 'GLI1', 'DDIT3', 'MBD6', 'HMGA2', 'MYRFL', 'THAP2', 'E2F7', 'MYF6', 'MYF5', 'ALX1', 'EEA1', 'NR2C1', 'ELK3', 'NR1H4', 'SPIC', 'ASCL1', 'NFYB', 'RFX4', 'MTERF2', 'PRDM4', 'ASCL4', 'FOXN4', 'CUX2', 'TRAFD1', 'LHX5', 'TBX5', 'TBX3', 'HNF1A', 'KDM2B', 'MLXIP', 'ZNF664', 'ZNF605', 'ZNF26', 'ZNF84', 'ZNF140', 'ZNF891', 'ZNF10', 'ZNF268', 'GTF3A', 'GSX1', 'PDX1', 'CDX2', 'SOHLH2', 'CCDC169-SOHLH2', 'SMAD9', 'FOXO1', 'ELF1', 'TSC22D1', 'SETDB2', 'DACH1', 'KLF5', 'KLF12', 'POU4F1', 'SOX21', 'DZIP1', 'MBNL2', 'ZIC5', 'ZIC2', 'SOX1', 'TFDP1', 'CHAMP1', 'ZNF219', 'SALL2', 'CEBPE', 'HOMEZ', 'ZFHX2', 'NRL', 'IRF9', 'NFATC4', 'FOXG1', 'NPAS3', 'INSM2', 'NKX2-1', 'NKX2-8', 'PAX9', 'FOXA1', 'TBPL2', 'OTX2', 'SIX6', 'SIX1', 'SIX4', 'HIF1A', 'ESR2', 'ZBTB25', 'ZBTB1', 'MAX', 'DPF3', 'ZNF410', 'VSX2', 'PROX2', 'FOS', 'JDP2', 'BATF', 'ESRRB', 'FOXN3', 'GSC', 'BCL11B', 'YY1', 'ZBTB42', 'KLF13', 'ZNF770', 'NANOGP8', 'MEIS2', 'MGA', 'ZSCAN29', 'ONECUT1', 'RFX7', 'ZNF280D', 'TCF12', 'FOXB1', 'RORA', 'ZNF609', 'SNAPC5', 'SMAD3', 'SKOR1', 'THAP10', 'NR2E3', 'ARID3B', 'ISL2', 'HMG20A', 'ARNT2', 'CPEB1', 'BNC1', 'ZSCAN2', 'ZNF592', 'MESP1', 'MESP2', 'ZNF710', 'ZNF774', 'NR2F2', 'MEF2A', 'SOX8', 'ZNF598', 'E4F1', 'FLYWCH1', 'ZSCAN10', 'ZNF205', 'ZNF213', 'ZNF200', 'ZNF263', 'TIGD7', 'ZNF75A', 'ZSCAN32', 'ZNF174', 'ZNF597', 'TFAP4', 'GLIS2', 'ZNF500', 'GLYR1', 'ZKSCAN2', 'MAZ', 'TBX6', 'ZNF48', 'ZNF771', 'ZNF768', 'ZNF747', 'ZNF764', 'ZNF688', 'ZNF785', 'ZNF689', 'SRCAP', 'ZNF629', 'FBXL19', 'ZNF668', 'ZNF646', 'ZNF843', 'ZNF267', 'ZNF423', 'SALL1', 'IRX3', 'IRX5', 'IRX6', 'ZNF319', 'TERB1', 'HSF4', 'E2F4', 'CTCF', 'CENPT', 'THAP11', 'NFATC3', 'ZFP90', 'TERF2', 'NFAT5', 'ZNF23', 'ZNF19', 'ZNF821', 'ZFHX3', 'ZFP1', 'MAF', 'ATMIN', 'IRF8', 'FOXF1', 'FOXC2', 'FOXL1', 'ZNF469', 'ZFPM1', 'SNAI3', 'ZNF778', 'ZNF276', 'CENPBD1', 'BHLHA9', 'HIC1', 'SGSM2', 'MNT', 'CAMTA2', 'ZFP3', 'ZNF232', 'ZNF594', 'BCL6B', 'YBX2', 'ZBTB4', 'SOX15', 'TP53', 'HES7', 'ZNF18', 'ZNF286A', 'ZNF287', 'ZNF624', 'SREBF1', 'ZNF286B', 'SEBOX', 'FOXN1', 'ZNF207', 'ZNF830', 'LHX1', 'HNF1B', 'PCGF2', 'NEUROD2', 'IKZF3', 'THRA', 'NR1D1', 'RARA', 'ZNF385C', 'STAT5B', 'STAT5A', 'STAT3', 'MLX', 'ETV4', 'MEOX1', 'TBX21', 'SP6', 'SP2', 'NFE2L1', 'HOXB1', 'HOXB2', 'HOXB3', 'HOXB4', 'HOXB5', 'HOXB6', 'HOXB7', 'HOXB8', 'HOXB9', 'HOXB13', 'ZNF652', 'KAT7', 'DLX4', 'DLX3', 'NME2', 'HLF', 'VEZF1', 'HSF5', 'TBX2', 'TBX4', 'BPTF', 'SOX9', 'FOXJ1', 'CBX2', 'MAFG', 'CENPX', 'FOXK2', 'ZNF750', 'TGIF1', 'ZBTB14', 'L3MBTL4', 'ZNF519', 'GATA6', 'ZNF521', 'ZNF397', 'ZSCAN30', 'ZNF24', 'ZNF396', 'SETBP1', 'SKOR2', 'ZBTB7C', 'MBD1', 'CXXC1', 'SMAD4', 'MBD2', 'TCF4', 'ONECUT2', 'ZNF532', 'RAX', 'ZNF407', 'TSHZ1', 'ZNF516', 'ZNF236', 'SALL3', 'NFATC1', 'ADNP2', 'ARID3A', 'MBD3', 'TCF3', 'ONECUT3', 'KLF16', 'DOT1L', 'ZNF554', 'ZNF555', 'ZNF556', 'ZNF57', 'ZNF77', 'NFIC', 'HMG20B', 'RAX2', 'ZBTB7A', 'CREB3L3', 'SAFB2', 'SAFB', 'RFX2', 'ZNF557', 'ZNF358', 'SNAPC2', 'ZNF414', 'ZNF558', 'ZNF317', 'ZNF699', 'ZNF559', 'ZNF177', 'ZNF266', 'ZNF560', 'ZNF426', 'ZNF121', 'ZNF561', 'ZNF562', 'ZNF846', 'PIN1', 'DNMT1', 'ZGLP1', 'ZNF653', 'ZNF627', 'ZNF823', 'ZNF441', 'ZNF491', 'ZNF440', 'ZNF439', 'ZNF69', 'ZNF700', 'AC008770.3', 'ZNF763', 'ZNF433', 'ZNF878', 'ZNF844', 'ZNF20', 'ZNF625', 'ZNF136', 'ZNF44', 'ZNF563', 'ZNF442', 'ZNF799', 'ZNF443', 'ZNF709', 'ZNF564', 'ZNF490', 'ZNF791', 'JUNB', 'KLF1', 'NFIX', 'LYL1', 'CC2D1A', 'RFX1', 'ZNF333', 'AKAP8', 'AKAP8L', 'WIZ', 'KLF2', 'NR2F6', 'JUND', 'MEF2B', 'BORCS8-MEF2B', 'GATAD2A', 'PBX4', 'ZNF101', 'ZNF14', 'ZNF506', 'ZNF253', 'ZNF93', 'ZNF682', 'ZNF90', 'ZNF486', 'ZNF737', 'ZNF626', 'ZNF66', 'ZNF85', 'ZNF430', 'ZNF714', 'ZNF431', 'ZNF708', 'ZNF493', 'ZNF429', 'ZNF100', 'ZNF43', 'ZNF208', 'ZNF257', 'ZNF676', 'ZNF729', 'ZNF98', 'ZNF492', 'ZNF99', 'ZNF728', 'ZNF730', 'ZNF724', 'ZNF91', 'ZNF675', 'ZNF681', 'ZNF726', 'ZNF254', 'ZNF536', 'TSHZ3', 'ZNF507', 'CEBPA', 'CEBPG', 'ZNF302', 'ZNF181', 'ZNF599', 'ZNF30', 'ZNF792', 'USF2', 'ETV2', 'ZBTB32', 'KMT2B', 'THAP8', 'OVOL3', 'ZNF565', 'ZNF146', 'ZFP14', 'ZFP82', 'ZNF566', 'ZNF260', 'ZNF529', 'ZNF382', 'ZNF461', 'ZNF567', 'ZNF850', 'ZNF790', 'ZNF345', 'ZNF829', 'ZNF568', 'ZNF420', 'ZNF585A', 'ZNF585B', 'ZNF383', 'ZNF527', 'ZNF569', 'ZNF570', 'ZNF793', 'ZNF540', 'ZNF571', 'ZFP30', 'ZNF781', 'ZNF607', 'ZNF573', 'DPF1', 'LEUTX', 'ZNF546', 'ZNF780B', 'ZNF780A', 'DMRTC2', 'ZNF574', 'POU2F2', 'ZNF526', 'ERF', 'CIC', 'ZNF575', 'ZNF576', 'ZNF428', 'ZNF283', 'ZNF404', 'ZNF45', 'ZNF221', 'ZNF155', 'ZNF230', 'ZNF222', 'ZNF223', 'ZNF284', 'ZNF224', 'ZNF225', 'ZNF234', 'ZNF226', 'ZNF227', 'ZNF235', 'ZNF233', 'ZNF112', 'ZNF285', 'ZNF229', 'ZNF180', 'RELB', 'ZNF296', 'FOSB', 'SIX5', 'FOXA3', 'MYPOP', 'HIF3A', 'ARHGAP35', 'NPAS1', 'MEIS3', 'ZNF541', 'TPRX1', 'CRX', 'ZNF114', 'DBP', 'TEAD2', 'PRR12', 'IRF3', 'ATF5', 'ZNF473', 'NR1H2', 'SPIB', 'ZNF175', 'ZNF577', 'ZNF649', 'ZNF613', 'ZNF350', 'ZNF615', 'ZNF614', 'ZNF432', 'ZNF841', 'ZNF616', 'ZNF836', 'ZNF766', 'ZNF480', 'ZNF610', 'ZNF880', 'ZNF528', 'ZNF534', 'ZNF578', 'ZNF808', 'ZNF701', 'ZNF83', 'ZNF611', 'ZNF600', 'ZNF28', 'ZNF468', 'ZNF320', 'ZNF888', 'ZNF816', 'ZNF160', 'ZNF415', 'ZNF347', 'ZNF665', 'ZNF677', 'ZNF845', 'ZNF525', 'ZNF765', 'ZNF761', 'ZNF813', 'ZNF331', 'DPRX', 'ZNF628', 'ZNF579', 'FIZ1', 'ZNF524', 'ZNF865', 'ZNF784', 'ZNF580', 'ZNF581', 'ZNF787', 'ZNF444', 'ZSCAN5B', 'ZSCAN5C', 'ZSCAN5A', 'ZNF582', 'ZNF583', 'ZNF667', 'ZNF471', 'ZFP28', 'ZNF470', 'ZNF71', 'ZNF835', 'ZIM2', 'PEG3', 'ZIM3', 'DUXA', 'ZNF264', 'ZNF805', 'ZNF460', 'ZNF543', 'ZNF304', 'ZNF547', 'ZNF548', 'ZNF17', 'ZNF749', 'ZNF772', 'ZNF419', 'ZNF773', 'ZNF549', 'ZNF550', 'ZNF416', 'ZIK1', 'ZNF530', 'ZNF134', 'ZNF211', 'ZSCAN4', 'ZNF551', 'ZNF154', 'ZNF671', 'ZNF776', 'ZNF586', 'ZNF552', 'ZNF587B', 'ZNF814', 'ZNF587', 'ZNF417', 'ZNF418', 'ZNF256', 'ZNF606', 'ZSCAN1', 'ZNF135', 'ZSCAN18', 'ZNF329', 'ZNF274', 'ZNF544', 'ZNF8', 'ZSCAN22', 'ZNF497', 'ZNF837', 'ZNF584', 'ZNF132', 'ZNF324B', 'ZNF324', 'ZNF446', 'ZBTB45', 'MZF1', 'SOX12', 'RBCK1', 'TCF15', 'SCRT2', 'ZNF343', 'EBF4', 'CENPB', 'OVOL2', 'ZNF133', 'INSM1', 'NKX2-4', 'NKX2-2', 'PAX1', 'FOXA2', 'GZF1', 'VSX1', 'ZNF337', 'FOXS1', 'PLAGL2', 'E2F1', 'ZNF341', 'PHF20', 'TGIF2', 'MAFB', 'ZHX3', 'L3MBTL1', 'MYBL2', 'HNF4A', 'RBPJL', 'DNTTIP1', 'ZNF335', 'ZNF334', 'NCOA3', 'SNAI1', 'CEBPB', 'ADNP', 'NFATC2', 'SALL4', 'ZFP64', 'TSHZ2', 'ZNF217', 'TFAP2C', 'CTCFL', 'ZNF831', 'GATA5', 'TCFL5', 'BHLHE23', 'GMEB2', 'ZGPAT', 'SLC2A4RG', 'ZBTB46', 'ZNF512B', 'SOX18', 'MYT1', 'GABPA', 'BACH1', 'OLIG2', 'OLIG1', 'SON', 'RUNX1', 'SIM2', 'ERG', 'ETS2', 'PRDM15', 'ZBTB21', 'PKNOX1', 'AIRE', 'GSC2', 'TBX1', 'ZNF74', 'THAP7', 'HIC2', 'ZNF280B', 'ZNF280A', 'ZNF70', 'XBP1', 'PATZ1', 'ISX', 'SOX10', 'MAFF', 'ATF4', 'TEF', 'SREBF2', 'TCF20', 'PPARA', 'ZBED4', 'SHOX', 'ZBED1', 'YY2', 'ZFX', 'ARX', 'NR0B1', 'ZNF674', 'ZNF157', 'ZNF41', 'ELK1', 'ZNF81', 'ZNF182', 'ZNF630', 'GATA1', 'TFE3', 'FOXP3', 'FOXR2', 'KLF8', 'ZXDB', 'ZXDA', 'AR', 'FOXO4', 'CDX4', 'TBX22', 'POU3F4', 'HDX', 'ZNF711', 'DACH2', 'CPXCR1', 'TGIF2LX', 'ZMAT1', 'ESX1', 'NKRF', 'RHOXF2B', 'RHOXF1', 'RHOXF2', 'ZBTB33', 'ELF4', 'ZNF280C', 'TFDP3', 'ZNF75D', 'ZNF449', 'ZIC3', 'SOX3', 'HSFX2', 'HSFX1', 'ZNF275', 'ZFP92', 'MECP2']\n"
     ]
    },
    {
     "ename": "KeyError",
     "evalue": "\"['ZNF883.1'] not in index\"",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[576], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m dfc,newcms2 \u001b[38;5;241m=\u001b[39m \u001b[43mget_raw_table_from_dragon\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdragon_df\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mcms2_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mraw_df\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mraw_cms2\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m dfc\n",
      "Cell \u001b[0;32mIn[575], line 18\u001b[0m, in \u001b[0;36mget_raw_table_from_dragon\u001b[0;34m(dragon_df, raw_df)\u001b[0m\n\u001b[1;32m     16\u001b[0m dragon_genes \u001b[38;5;241m=\u001b[39m [i\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_\u001b[39m\u001b[38;5;124m'\u001b[39m)[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mreplace(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m-\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mif\u001b[39;00m ( (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m i) \u001b[38;5;241m&\u001b[39m ((\u001b[38;5;129;01mnot\u001b[39;00m i\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAC\u001b[39m\u001b[38;5;124m'\u001b[39m))\u001b[38;5;241m&\u001b[39m(\u001b[38;5;129;01mnot\u001b[39;00m i\u001b[38;5;241m.\u001b[39mstartswith(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mZNF8\u001b[39m\u001b[38;5;124m'\u001b[39m)))) \u001b[38;5;28;01melse\u001b[39;00m i\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_\u001b[39m\u001b[38;5;124m'\u001b[39m)[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m dragon_df\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mtolist() \u001b[38;5;28;01mif\u001b[39;00m i\u001b[38;5;241m.\u001b[39mendswith(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_cnv\u001b[39m\u001b[38;5;124m'\u001b[39m)]\n\u001b[1;32m     17\u001b[0m \u001b[38;5;28mprint\u001b[39m(dragon_genes)\n\u001b[0;32m---> 18\u001b[0m new_cms \u001b[38;5;241m=\u001b[39m \u001b[43mnew_cms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43mdragon_genes\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m     19\u001b[0m new_cms[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbarcode\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m new_cms\u001b[38;5;241m.\u001b[39mindex\u001b[38;5;241m.\u001b[39mmap(df_cols\u001b[38;5;241m.\u001b[39mloc[:,[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mraw_name\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdragon_cols\u001b[39m\u001b[38;5;124m'\u001b[39m]]\u001b[38;5;241m.\u001b[39mset_index(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mraw_name\u001b[39m\u001b[38;5;124m'\u001b[39m)[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdragon_cols\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m     21\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m(df_cols, new_cms)\n",
      "File \u001b[0;32m~/miniconda3/envs/zoo-m1/lib/python3.9/site-packages/pandas/core/indexing.py:1184\u001b[0m, in \u001b[0;36m_LocationIndexer.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   1182\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_is_scalar_access(key):\n\u001b[1;32m   1183\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj\u001b[38;5;241m.\u001b[39m_get_value(\u001b[38;5;241m*\u001b[39mkey, takeable\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_takeable)\n\u001b[0;32m-> 1184\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem_tuple\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1185\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1186\u001b[0m     \u001b[38;5;66;03m# we by definition only have the 0th axis\u001b[39;00m\n\u001b[1;32m   1187\u001b[0m     axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxis \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;241m0\u001b[39m\n",
      "File \u001b[0;32m~/miniconda3/envs/zoo-m1/lib/python3.9/site-packages/pandas/core/indexing.py:1377\u001b[0m, in \u001b[0;36m_LocIndexer._getitem_tuple\u001b[0;34m(self, tup)\u001b[0m\n\u001b[1;32m   1374\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_multi_take_opportunity(tup):\n\u001b[1;32m   1375\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_multi_take(tup)\n\u001b[0;32m-> 1377\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem_tuple_same_dim\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtup\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/miniconda3/envs/zoo-m1/lib/python3.9/site-packages/pandas/core/indexing.py:1020\u001b[0m, in \u001b[0;36m_LocationIndexer._getitem_tuple_same_dim\u001b[0;34m(self, tup)\u001b[0m\n\u001b[1;32m   1017\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m com\u001b[38;5;241m.\u001b[39mis_null_slice(key):\n\u001b[1;32m   1018\u001b[0m     \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[0;32m-> 1020\u001b[0m retval \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mretval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem_axis\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mi\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1021\u001b[0m \u001b[38;5;66;03m# We should never have retval.ndim < self.ndim, as that should\u001b[39;00m\n\u001b[1;32m   1022\u001b[0m \u001b[38;5;66;03m#  be handled by the _getitem_lowerdim call above.\u001b[39;00m\n\u001b[1;32m   1023\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m retval\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mndim\n",
      "File \u001b[0;32m~/miniconda3/envs/zoo-m1/lib/python3.9/site-packages/pandas/core/indexing.py:1420\u001b[0m, in \u001b[0;36m_LocIndexer._getitem_axis\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   1417\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(key, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mndim\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m key\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m   1418\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot index with multidimensional key\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1420\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem_iterable\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1422\u001b[0m \u001b[38;5;66;03m# nested tuple slicing\u001b[39;00m\n\u001b[1;32m   1423\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_nested_tuple(key, labels):\n",
      "File \u001b[0;32m~/miniconda3/envs/zoo-m1/lib/python3.9/site-packages/pandas/core/indexing.py:1360\u001b[0m, in \u001b[0;36m_LocIndexer._getitem_iterable\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   1357\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_validate_key(key, axis)\n\u001b[1;32m   1359\u001b[0m \u001b[38;5;66;03m# A collection of keys\u001b[39;00m\n\u001b[0;32m-> 1360\u001b[0m keyarr, indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_listlike_indexer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1361\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj\u001b[38;5;241m.\u001b[39m_reindex_with_indexers(\n\u001b[1;32m   1362\u001b[0m     {axis: [keyarr, indexer]}, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, allow_dups\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m   1363\u001b[0m )\n",
      "File \u001b[0;32m~/miniconda3/envs/zoo-m1/lib/python3.9/site-packages/pandas/core/indexing.py:1558\u001b[0m, in \u001b[0;36m_LocIndexer._get_listlike_indexer\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   1555\u001b[0m ax \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj\u001b[38;5;241m.\u001b[39m_get_axis(axis)\n\u001b[1;32m   1556\u001b[0m axis_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj\u001b[38;5;241m.\u001b[39m_get_axis_name(axis)\n\u001b[0;32m-> 1558\u001b[0m keyarr, indexer \u001b[38;5;241m=\u001b[39m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_indexer_strict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1560\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m keyarr, indexer\n",
      "File \u001b[0;32m~/miniconda3/envs/zoo-m1/lib/python3.9/site-packages/pandas/core/indexes/base.py:6200\u001b[0m, in \u001b[0;36mIndex._get_indexer_strict\u001b[0;34m(self, key, axis_name)\u001b[0m\n\u001b[1;32m   6197\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   6198\u001b[0m     keyarr, indexer, new_indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reindex_non_unique(keyarr)\n\u001b[0;32m-> 6200\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_raise_if_missing\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkeyarr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindexer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   6202\u001b[0m keyarr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtake(indexer)\n\u001b[1;32m   6203\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key, Index):\n\u001b[1;32m   6204\u001b[0m     \u001b[38;5;66;03m# GH 42790 - Preserve name from an Index\u001b[39;00m\n",
      "File \u001b[0;32m~/miniconda3/envs/zoo-m1/lib/python3.9/site-packages/pandas/core/indexes/base.py:6252\u001b[0m, in \u001b[0;36mIndex._raise_if_missing\u001b[0;34m(self, key, indexer, axis_name)\u001b[0m\n\u001b[1;32m   6249\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNone of [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] are in the [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00maxis_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m   6251\u001b[0m not_found \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(ensure_index(key)[missing_mask\u001b[38;5;241m.\u001b[39mnonzero()[\u001b[38;5;241m0\u001b[39m]]\u001b[38;5;241m.\u001b[39munique())\n\u001b[0;32m-> 6252\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnot_found\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not in index\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[0;31mKeyError\u001b[0m: \"['ZNF883.1'] not in index\""
     ]
    }
   ],
   "source": [
    "dfc,newcms2 = get_raw_table_from_dragon(dragon_df = cms2_data, raw_df = raw_cms2)\n",
    "dfc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 586,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ZNF883', 'ZNF883', 'ZNF887P', 'ZNF880', 'ZNF888', 'ZNF886P', 'ZNF885P']"
      ]
     },
     "execution_count": 586,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[i for i in raw_cms2.index if 'ZNF88' in i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 483,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "TCGAbarcode",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "SKI_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "HES5_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "PRDM16_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "TP73_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "HES3_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "HES2_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZBTB48_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
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       "      <th></th>\n",
       "      <th>SKI_cnv</th>\n",
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       "                   SKI_cnv  HES5_cnv  PRDM16_cnv  TP73_cnv  HES3_cnv  \\\n",
       "TCGAbarcode                                                            \n",
       "TCGA-D5-5538-01A -0.462124 -0.462124   -0.442793 -0.442793 -0.347668   \n",
       "TCGA-D5-6922-01A  0.726580  0.726580    0.770106  0.770106  0.792236   \n",
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       "TCGA-D5-6924-01A  0.726580  0.726580    0.770106  0.770106  0.792236   \n",
       "TCGA-CM-5860-01A  0.726580  0.726580    0.770106  0.770106  0.792236   \n",
       "\n",
       "                  HES2_cnv  ZBTB48_cnv  THAP3_cnv  CAMTA1_cnv  CENPS_cnv  ...  \\\n",
       "TCGAbarcode                                                               ...   \n",
       "TCGA-D5-5538-01A -0.347668   -0.347668  -0.347668   -0.347668  -0.404454  ...   \n",
       "TCGA-D5-6922-01A  0.792236    0.792236   0.792236    0.792236   0.748225  ...   \n",
       "TCGA-AZ-6605-01A -1.856894   -1.856894  -1.856894   -1.856894  -1.980027  ...   \n",
       "TCGA-D5-6924-01A  0.792236    0.792236   0.792236    0.792236   0.748225  ...   \n",
       "TCGA-CM-5860-01A  0.792236    0.792236   0.792236    0.792236   0.748225  ...   \n",
       "\n",
       "                  NKRF_expression  ZBTB33_expression  ELF4_expression  \\\n",
       "TCGAbarcode                                                             \n",
       "TCGA-D5-5538-01A         1.332526           1.728326         0.514951   \n",
       "TCGA-D5-6922-01A         0.290975           0.368636         0.942090   \n",
       "TCGA-AZ-6605-01A         0.225245          -0.332904        -0.203212   \n",
       "TCGA-D5-6924-01A         1.566330           1.335967         1.752314   \n",
       "TCGA-CM-5860-01A         1.944769           1.324204         0.468511   \n",
       "\n",
       "                  ZNF280C_expression  ZNF75D_expression  ZNF449_expression  \\\n",
       "TCGAbarcode                                                                  \n",
       "TCGA-D5-5538-01A            0.662887           0.346521           1.428838   \n",
       "TCGA-D5-6922-01A            0.898702           0.721289           0.116578   \n",
       "TCGA-AZ-6605-01A           -0.186882           0.046145          -0.340408   \n",
       "TCGA-D5-6924-01A            1.420322           1.672815           2.247486   \n",
       "TCGA-CM-5860-01A            0.885056           0.897086           0.520944   \n",
       "\n",
       "                  HSFX2_expression  ZNF275_expression  ZFP92_expression  \\\n",
       "TCGAbarcode                                                               \n",
       "TCGA-D5-5538-01A         -0.224165           1.679864         -0.391029   \n",
       "TCGA-D5-6922-01A          0.487199           1.089977         -0.618432   \n",
       "TCGA-AZ-6605-01A          0.089472           0.280472         -0.252711   \n",
       "TCGA-D5-6924-01A          1.130913           2.455036          1.267644   \n",
       "TCGA-CM-5860-01A         -1.234598          -0.974842         -1.256625   \n",
       "\n",
       "                  MECP2_expression  \n",
       "TCGAbarcode                         \n",
       "TCGA-D5-5538-01A          0.664069  \n",
       "TCGA-D5-6922-01A          0.304756  \n",
       "TCGA-AZ-6605-01A         -0.622006  \n",
       "TCGA-D5-6924-01A          1.452742  \n",
       "TCGA-CM-5860-01A         -1.319649  \n",
       "\n",
       "[5 rows x 2910 columns]"
      ]
     },
     "execution_count": 483,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cms2_data = pd.read_csv('../results/batch-coad-subtype-20250406/tcga_coad_cms2/analysis/dragon/tcga_coad_cms2_cnv_expression_dragon_input.tsv', sep = '\\t', index_col = 0)\n",
    "cms2_data.head()\n",
    "cms4_data = pd.read_csv('../results/batch-coad-subtype-20250406/tcga_coad_cms4/analysis/dragon/tcga_coad_cms4_cnv_expression_dragon_input.tsv', sep = '\\t', index_col = 0)\n",
    "cms4_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 476,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='TCGAbarcode'>"
      ]
     },
     "execution_count": 476,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cms2_data, cmap = 'RdBu_r', center = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Starting to read the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cms2\n",
      "cms4\n"
     ]
    }
   ],
   "source": [
    "# read the dragons\n",
    "dragons = read_dragons(dragon_fn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# we need to make sure the dragons are symmetric and that nothing went wrong\n",
    "assert np.isclose(dragons['cms2'].values,dragons['cms2'].T.values).all()\n",
    "assert np.isclose(dragons['cms4'].values,dragons['cms4'].T.values).all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   level_0            level_1         0\n",
      "0                  SKI_cnv           HES5_cnv  0.121488\n",
      "1                  SKI_cnv         PRDM16_cnv  0.090598\n",
      "2                  SKI_cnv           TP73_cnv  0.087525\n",
      "3                  SKI_cnv           HES3_cnv  0.060668\n",
      "4                  SKI_cnv           HES2_cnv  0.060668\n",
      "...                    ...                ...       ...\n",
      "4131370  ZNF449_expression  ZNF275_expression  0.006445\n",
      "4131371  ZNF449_expression   MECP2_expression  0.006525\n",
      "4131372   HSFX2_expression  ZNF275_expression  0.006698\n",
      "4131373   HSFX2_expression   MECP2_expression  0.006647\n",
      "4131374  ZNF275_expression   MECP2_expression  0.010248\n",
      "\n",
      "[4131375 rows x 3 columns]\n",
      "                     node1              node2      cms2\n",
      "0                  SKI_cnv           HES5_cnv  0.121488\n",
      "1                  SKI_cnv         PRDM16_cnv  0.090598\n",
      "2                  SKI_cnv           TP73_cnv  0.087525\n",
      "3                  SKI_cnv           HES3_cnv  0.060668\n",
      "4                  SKI_cnv           HES2_cnv  0.060668\n",
      "...                    ...                ...       ...\n",
      "4131370  ZNF449_expression  ZNF275_expression  0.006445\n",
      "4131371  ZNF449_expression   MECP2_expression  0.006525\n",
      "4131372   HSFX2_expression  ZNF275_expression  0.006698\n",
      "4131373   HSFX2_expression   MECP2_expression  0.006647\n",
      "4131374  ZNF275_expression   MECP2_expression  0.010248\n",
      "\n",
      "[4131375 rows x 3 columns]\n",
      "                   level_0           level_1         0\n",
      "0                  SKI_cnv          HES5_cnv  0.071148\n",
      "1                  SKI_cnv        PRDM16_cnv  0.058351\n",
      "2                  SKI_cnv          TP73_cnv  0.058351\n",
      "3                  SKI_cnv          HES3_cnv  0.018449\n",
      "4                  SKI_cnv          HES2_cnv  0.018449\n",
      "...                    ...               ...       ...\n",
      "4232590   HSFX2_expression  ZFP92_expression -0.001460\n",
      "4232591   HSFX2_expression  MECP2_expression  0.008127\n",
      "4232592  ZNF275_expression  ZFP92_expression  0.004376\n",
      "4232593  ZNF275_expression  MECP2_expression  0.008630\n",
      "4232594   ZFP92_expression  MECP2_expression  0.001942\n",
      "\n",
      "[4232595 rows x 3 columns]\n",
      "                     node1             node2      cms4\n",
      "0                  SKI_cnv          HES5_cnv  0.071148\n",
      "1                  SKI_cnv        PRDM16_cnv  0.058351\n",
      "2                  SKI_cnv          TP73_cnv  0.058351\n",
      "3                  SKI_cnv          HES3_cnv  0.018449\n",
      "4                  SKI_cnv          HES2_cnv  0.018449\n",
      "...                    ...               ...       ...\n",
      "4232590   HSFX2_expression  ZFP92_expression -0.001460\n",
      "4232591   HSFX2_expression  MECP2_expression  0.008127\n",
      "4232592  ZNF275_expression  ZFP92_expression  0.004376\n",
      "4232593  ZNF275_expression  MECP2_expression  0.008630\n",
      "4232594   ZFP92_expression  MECP2_expression  0.001942\n",
      "\n",
      "[4232595 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "# get long dragons\n",
    "dragon = get_long_dragon(dragons)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4258425, 4)\n"
     ]
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "node1",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "55dcd9d1-c422-4d08-a9b4-827c2089dc0d",
       "rows": [
        [
         "0",
         "AC008770.3_cnv",
         "ADNP2_expression",
         "-0.0008673162713126",
         "0.0013169196491067"
        ],
        [
         "1",
         "AC008770.3_cnv",
         "ADNP_cnv",
         "0.0006428789177761",
         "4.330257137008018e-05"
        ],
        [
         "2",
         "AC008770.3_cnv",
         "ADNP_expression",
         "0.0003693457789879",
         "-0.0006560882875688"
        ],
        [
         "3",
         "AC008770.3_cnv",
         "AEBP1_expression",
         "0.0002868295215605",
         "-0.0011240472657286"
        ],
        [
         "4",
         "AC008770.3_cnv",
         "AEBP2_expression",
         "-0.0018115050092053",
         "-0.0002141055174994"
        ]
       ],
       "shape": {
        "columns": 4,
        "rows": 5
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP2_expression</td>\n",
       "      <td>-0.000867</td>\n",
       "      <td>0.001317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP_cnv</td>\n",
       "      <td>0.000643</td>\n",
       "      <td>0.000043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP_expression</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>-0.000656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP1_expression</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>-0.001124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP2_expression</td>\n",
       "      <td>-0.001812</td>\n",
       "      <td>-0.000214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            node1             node2      cms2      cms4\n",
       "0  AC008770.3_cnv  ADNP2_expression -0.000867  0.001317\n",
       "1  AC008770.3_cnv          ADNP_cnv  0.000643  0.000043\n",
       "2  AC008770.3_cnv   ADNP_expression  0.000369 -0.000656\n",
       "3  AC008770.3_cnv  AEBP1_expression  0.000287 -0.001124\n",
       "4  AC008770.3_cnv  AEBP2_expression -0.001812 -0.000214"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(dragon.shape)\n",
    "dragon.head()\n",
    "# Dragons have 1067100 edges in total (we only consider the upper triangular matrix and we merge on the edge name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We add some columns with the node names and average/variance of edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "edge",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "abs_mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "var",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "node1_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "same",
         "rawType": "int64",
         "type": "integer"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "d5f70b59-a07d-4e72-b0a9-0c599cc19f49",
       "rows": [
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         "ZNF703_cnv",
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         "0.25372503026057586",
         "0.25372503026057586",
         "0.0066548760999349315",
         "cnv",
         "cnv",
         "ZNF703",
         "BRF2",
         "0.3114089799343583",
         "0.1960410805867934",
         "0"
        ],
        [
         "NKX6.3-THAP1",
         "NKX6.3_cnv",
         "THAP1_cnv",
         "0.308407421898275",
         "0.1124488329663271",
         "0.21042812743230105",
         "0.21042812743230105",
         "0.019199884288100072",
         "cnv",
         "cnv",
         "NKX6.3",
         "THAP1",
         "0.308407421898275",
         "0.1124488329663271",
         "0"
        ],
        [
         "SHOX-ZBED1",
         "SHOX_cnv",
         "ZBED1_cnv",
         "0.2414865060910034",
         "0.1624611061067859",
         "0.20197380609889465",
         "0.20197380609889465",
         "0.00312250692133278",
         "cnv",
         "cnv",
         "SHOX",
         "ZBED1",
         "0.2414865060910034",
         "0.1624611061067859",
         "0"
        ],
        [
         "NKX2.4-NKX2.2",
         "NKX2.4_cnv",
         "NKX2.2_cnv",
         "0.1505553009713211",
         null,
         "0.1505553009713211",
         "0.1505553009713211",
         null,
         "cnv",
         "cnv",
         "NKX2.4",
         "NKX2.2",
         "0.1505553009713211",
         null,
         "0"
        ],
        [
         "NKX2.4-PAX1",
         "NKX2.4_cnv",
         "PAX1_cnv",
         "0.1446178001842528",
         null,
         "0.1446178001842528",
         "0.1446178001842528",
         null,
         "cnv",
         "cnv",
         "NKX2.4",
         "PAX1",
         "0.1446178001842528",
         null,
         "0"
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        [
         "VSX1-ZNF337",
         "VSX1_cnv",
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         "0.1147911736418619",
         "0.14373904029800938",
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        [
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         "0.1019012777691667",
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         "ZMAT4",
         "NKX6.3",
         "0.1814291434120267",
         "0.1019012777691667",
         "0"
        ],
        [
         "OVOL2-ZNF133",
         "OVOL2_cnv",
         "ZNF133_cnv",
         "0.2002957951150458",
         "0.0807017585190175",
         "0.14049877681703166",
         "0.14049877681703166",
         "0.00715136679466608",
         "cnv",
         "cnv",
         "OVOL2",
         "ZNF133",
         "0.2002957951150458",
         "0.0807017585190175",
         "0"
        ],
        [
         "FOXM1-TEAD4",
         "FOXM1_cnv",
         "TEAD4_cnv",
         "0.1343000623232335",
         "0.1396750609478395",
         "0.1369875616355365",
         "0.1369875616355365",
         "1.4445305107258184e-05",
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         "cnv",
         "FOXM1",
         "TEAD4",
         "0.1343000623232335",
         "0.1396750609478395",
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        ],
        [
         "ZNF395-HMBOX1",
         "ZNF395_cnv",
         "HMBOX1_cnv",
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         "0.0914900654269225",
         "0.13033737996797767",
         "0.13033737996797767",
         "0.0030182276941033504",
         "cnv",
         "cnv",
         "ZNF395",
         "HMBOX1",
         "0.1691846945090328",
         "0.0914900654269225",
         "0"
        ],
        [
         "ZNF287-ZNF624",
         "ZNF287_cnv",
         "ZNF624_cnv",
         "0.1734027826321064",
         "0.085772361458288",
         "0.1295875720451972",
         "0.1295875720451972",
         "0.0038395453575504005",
         "cnv",
         "cnv",
         "ZNF287",
         "ZNF624",
         "0.1734027826321064",
         "0.085772361458288",
         "0"
        ],
        [
         "GZF1-VSX1",
         "GZF1_cnv",
         "VSX1_cnv",
         "0.1363656320859355",
         "0.1042460828793055",
         "0.12030585748262049",
         "0.12030585748262049",
         "0.000515832720618563",
         "cnv",
         "cnv",
         "GZF1",
         "VSX1",
         "0.1363656320859355",
         "0.1042460828793055",
         "0"
        ],
        [
         "HELT-ZFP42",
         "HELT_cnv",
         "ZFP42_cnv",
         "0.1283426358331527",
         "0.1120908935262016",
         "0.12021676467967715",
         "0.12021676467967715",
         "0.00013205956400577217",
         "cnv",
         "cnv",
         "HELT",
         "ZFP42",
         "0.1283426358331527",
         "0.1120908935262016",
         "0"
        ],
        [
         "SEBOX-FOXN1",
         "SEBOX_cnv",
         "FOXN1_cnv",
         "0.1646733361445708",
         "0.0745368174162313",
         "0.11960507678040105",
         "0.11960507678040105",
         "0.0040622960042321484",
         "cnv",
         "cnv",
         "SEBOX",
         "FOXN1",
         "0.1646733361445708",
         "0.0745368174162313",
         "0"
        ],
        [
         "ZBTB14-L3MBTL4",
         "ZBTB14_cnv",
         "L3MBTL4_cnv",
         "0.1174623933929451",
         "0.1201023857352683",
         "0.1187823895641067",
         "0.1187823895641067",
         "3.484779783762545e-06",
         "cnv",
         "cnv",
         "ZBTB14",
         "L3MBTL4",
         "0.1174623933929451",
         "0.1201023857352683",
         "0"
        ],
        [
         "TGIF1-L3MBTL4",
         "TGIF1_cnv",
         "L3MBTL4_cnv",
         "0.1233070275133954",
         "0.1141380287659712",
         "0.1187225281396833",
         "0.1187225281396833",
         "4.203526901513318e-05",
         "cnv",
         "cnv",
         "TGIF1",
         "L3MBTL4",
         "0.1233070275133954",
         "0.1141380287659712",
         "0"
        ],
        [
         "IRX2-IRX1",
         "IRX2_cnv",
         "IRX1_cnv",
         "0.1306429977445031",
         "0.1031876113516453",
         "0.1169153045480742",
         "0.1169153045480742",
         "0.000376899120990561",
         "cnv",
         "cnv",
         "IRX2",
         "IRX1",
         "0.1306429977445031",
         "0.1031876113516453",
         "0"
        ],
        [
         "TGIF1-ZBTB14",
         "TGIF1_cnv",
         "ZBTB14_cnv",
         "0.1121080905838255",
         "0.1199732072186345",
         "0.11604064890123",
         "0.11604064890123",
         "3.093002983957464e-05",
         "cnv",
         "cnv",
         "TGIF1",
         "ZBTB14",
         "0.1121080905838255",
         "0.1199732072186345",
         "0"
        ],
        [
         "AHRR-IRX4",
         "AHRR_cnv",
         "IRX4_cnv",
         "0.1306429977445031",
         "0.1002268727705129",
         "0.115434935257508",
         "0.115434935257508",
         "0.0004625703292166955",
         "cnv",
         "cnv",
         "AHRR",
         "IRX4",
         "0.1306429977445031",
         "0.1002268727705129",
         "0"
        ],
        [
         "IRX4-IRX1",
         "IRX4_cnv",
         "IRX1_cnv",
         "0.1306429977445033",
         "0.098116644737746",
         "0.11437982124112465",
         "0.11437982124112465",
         "0.0005289818199600947",
         "cnv",
         "cnv",
         "IRX4",
         "IRX1",
         "0.1306429977445033",
         "0.098116644737746",
         "0"
        ],
        [
         "IRX4-IRX2",
         "IRX4_cnv",
         "IRX2_cnv",
         "0.1306429977445029",
         "0.0981166447377461",
         "0.1143798212411245",
         "0.1143798212411245",
         "0.000528981819960078",
         "cnv",
         "cnv",
         "IRX4",
         "IRX2",
         "0.1306429977445029",
         "0.0981166447377461",
         "0"
        ],
        [
         "AHRR-IRX1",
         "AHRR_cnv",
         "IRX1_cnv",
         "0.1306429977445026",
         "0.0981166447377457",
         "0.11437982124112415",
         "0.11437982124112415",
         "0.0005289818199600821",
         "cnv",
         "cnv",
         "AHRR",
         "IRX1",
         "0.1306429977445026",
         "0.0981166447377457",
         "0"
        ],
        [
         "AHRR-IRX2",
         "AHRR_cnv",
         "IRX2_cnv",
         "0.1306429977445024",
         "0.0981166447377456",
         "0.114379821241124",
         "0.114379821241124",
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       "      <th>MEF2C-FOXS1</th>\n",
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       "      <td>0.045737</td>\n",
       "      <td>0.004184</td>\n",
       "      <td>cnv</td>\n",
       "      <td>cnv</td>\n",
       "      <td>MEF2C</td>\n",
       "      <td>FOXS1</td>\n",
       "      <td>0.089593</td>\n",
       "      <td>0.001881</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LHX9-FOXS1</th>\n",
       "      <td>LHX9_cnv</td>\n",
       "      <td>FOXS1_cnv</td>\n",
       "      <td>-0.094032</td>\n",
       "      <td>0.002309</td>\n",
       "      <td>-0.045861</td>\n",
       "      <td>0.048171</td>\n",
       "      <td>0.004641</td>\n",
       "      <td>cnv</td>\n",
       "      <td>cnv</td>\n",
       "      <td>LHX9</td>\n",
       "      <td>FOXS1</td>\n",
       "      <td>0.094032</td>\n",
       "      <td>0.002309</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4258425 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    node1       node2      cms2      cms4      mean  abs_mean  \\\n",
       "edge                                                                            \n",
       "ZNF703-BRF2    ZNF703_cnv    BRF2_cnv  0.311409  0.196041  0.253725  0.253725   \n",
       "NKX6.3-THAP1   NKX6.3_cnv   THAP1_cnv  0.308407  0.112449  0.210428  0.210428   \n",
       "SHOX-ZBED1       SHOX_cnv   ZBED1_cnv  0.241487  0.162461  0.201974  0.201974   \n",
       "NKX2.4-NKX2.2  NKX2.4_cnv  NKX2.2_cnv  0.150555       NaN  0.150555  0.150555   \n",
       "NKX2.4-PAX1    NKX2.4_cnv    PAX1_cnv  0.144618       NaN  0.144618  0.144618   \n",
       "...                   ...         ...       ...       ...       ...       ...   \n",
       "TFCP2-GSC2      TFCP2_cnv    GSC2_cnv -0.072384  0.000265 -0.036059  0.036325   \n",
       "POU6F1-GSC2    POU6F1_cnv    GSC2_cnv -0.072384  0.000265 -0.036059  0.036325   \n",
       "ATF1-GSC2        ATF1_cnv    GSC2_cnv -0.072384  0.000265 -0.036059  0.036325   \n",
       "MEF2C-FOXS1     MEF2C_cnv   FOXS1_cnv -0.089593  0.001881 -0.043856  0.045737   \n",
       "LHX9-FOXS1       LHX9_cnv   FOXS1_cnv -0.094032  0.002309 -0.045861  0.048171   \n",
       "\n",
       "                    var node1_type node2_type node1_tf node2_tf  cms2_abs  \\\n",
       "edge                                                                        \n",
       "ZNF703-BRF2    0.006655        cnv        cnv   ZNF703     BRF2  0.311409   \n",
       "NKX6.3-THAP1   0.019200        cnv        cnv   NKX6.3    THAP1  0.308407   \n",
       "SHOX-ZBED1     0.003123        cnv        cnv     SHOX    ZBED1  0.241487   \n",
       "NKX2.4-NKX2.2       NaN        cnv        cnv   NKX2.4   NKX2.2  0.150555   \n",
       "NKX2.4-PAX1         NaN        cnv        cnv   NKX2.4     PAX1  0.144618   \n",
       "...                 ...        ...        ...      ...      ...       ...   \n",
       "TFCP2-GSC2     0.002639        cnv        cnv    TFCP2     GSC2  0.072384   \n",
       "POU6F1-GSC2    0.002639        cnv        cnv   POU6F1     GSC2  0.072384   \n",
       "ATF1-GSC2      0.002639        cnv        cnv     ATF1     GSC2  0.072384   \n",
       "MEF2C-FOXS1    0.004184        cnv        cnv    MEF2C    FOXS1  0.089593   \n",
       "LHX9-FOXS1     0.004641        cnv        cnv     LHX9    FOXS1  0.094032   \n",
       "\n",
       "               cms4_abs  same  \n",
       "edge                           \n",
       "ZNF703-BRF2    0.196041     0  \n",
       "NKX6.3-THAP1   0.112449     0  \n",
       "SHOX-ZBED1     0.162461     0  \n",
       "NKX2.4-NKX2.2       NaN     0  \n",
       "NKX2.4-PAX1         NaN     0  \n",
       "...                 ...   ...  \n",
       "TFCP2-GSC2     0.000265     0  \n",
       "POU6F1-GSC2    0.000265     0  \n",
       "ATF1-GSC2      0.000265     0  \n",
       "MEF2C-FOXS1    0.001881     0  \n",
       "LHX9-FOXS1     0.002309     0  \n",
       "\n",
       "[4258425 rows x 14 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# mean dragon value for all subtypes\n",
    "dragon['mean']  = dragon.loc[:,subtype_order].mean(axis =1)\n",
    "# absolute mean dragon value for all subtypes\n",
    "dragon['abs_mean']  = np.abs(dragon.loc[:,subtype_order]).mean(axis =1)\n",
    "# variance\n",
    "dragon['var']  = dragon.loc[:,subtype_order].var(axis =1)\n",
    "\n",
    "# node type, whether expression or methylation\n",
    "dragon['node1_type'] = [i.split('_')[1] for i in dragon['node1']]\n",
    "dragon['node2_type'] = [i.split('_')[1] for i in dragon['node2']]\n",
    "# node name\n",
    "dragon['node1_tf'] = [i.split('_')[0] for i in dragon['node1']]\n",
    "dragon['node2_tf'] = [i.split('_')[0] for i in dragon['node2']]\n",
    "\n",
    "# get absolute values for dragons\n",
    "dragon.loc[:,[i+'_abs' for i in subtype_order]] = np.abs(dragon.loc[:,subtype_order].values)\n",
    "\n",
    "# edge name\n",
    "dragon['edge'] = dragon.node1_tf +'-'+ dragon.node2_tf\n",
    "dragon = dragon.set_index('edge')\n",
    "# select same TF edges\n",
    "dragon['same'] = 1*(dragon.node1_tf == dragon.node2_tf)\n",
    "dragon.sort_values(by = 'mean', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "('node1_type', 'node2_type')",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "1a30f0b3-59df-4409-9db5-a5f7d6283e8e",
       "rows": [
        [
         "('cnv', 'cnv')",
         "0.0006145080437809197",
         "0.0006145515436078708"
        ],
        [
         "('cnv', 'expression')",
         "-2.110574813459077e-06",
         "-2.0768503841379562e-06"
        ],
        [
         "('expression', 'expression')",
         "0.000353844531491046",
         "0.00034456154198771145"
        ]
       ],
       "shape": {
        "columns": 2,
        "rows": 3
       }
      },
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>node1_type</th>\n",
       "      <th>node2_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">cnv</th>\n",
       "      <th>cnv</th>\n",
       "      <td>0.000615</td>\n",
       "      <td>0.000615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expression</th>\n",
       "      <td>-0.000002</td>\n",
       "      <td>-0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expression</th>\n",
       "      <th>expression</th>\n",
       "      <td>0.000354</td>\n",
       "      <td>0.000345</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           cms2      cms4\n",
       "node1_type node2_type                    \n",
       "cnv        cnv         0.000615  0.000615\n",
       "           expression -0.000002 -0.000002\n",
       "expression expression  0.000354  0.000345"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dragon means by edge type\n",
    "dragon.groupby(by = ['node1_type', 'node2_type']).agg({i:'mean' for i in subtype_order})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "('node1_type', 'node2_type')",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "cms2_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4_abs",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "d9784930-81e9-4299-a36b-24f70b2e08a2",
       "rows": [
        [
         "('cnv', 'cnv')",
         "0.002606341063291334",
         "0.002435590360830911"
        ],
        [
         "('cnv', 'expression')",
         "0.00173107444639924",
         "0.0014844247361304832"
        ],
        [
         "('expression', 'expression')",
         "0.0020365807865833155",
         "0.0019872684401740777"
        ]
       ],
       "shape": {
        "columns": 2,
        "rows": 3
       }
      },
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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>cms2_abs</th>\n",
       "      <th>cms4_abs</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>node1_type</th>\n",
       "      <th>node2_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">cnv</th>\n",
       "      <th>cnv</th>\n",
       "      <td>0.002606</td>\n",
       "      <td>0.002436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expression</th>\n",
       "      <td>0.001731</td>\n",
       "      <td>0.001484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expression</th>\n",
       "      <th>expression</th>\n",
       "      <td>0.002037</td>\n",
       "      <td>0.001987</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       cms2_abs  cms4_abs\n",
       "node1_type node2_type                    \n",
       "cnv        cnv         0.002606  0.002436\n",
       "           expression  0.001731  0.001484\n",
       "expression expression  0.002037  0.001987"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# absolute values\n",
    "subtype_abs = [i+'_abs' for i in subtype_order]\n",
    "dragon.groupby(by = ['node1_type', 'node2_type']).agg({i:'mean' for i in subtype_abs})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## General exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "SKI_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "HES5_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "PRDM16_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "TP73_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "HES3_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "HES2_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZBTB48_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "THAP3_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "CAMTA1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "CENPS_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "CASZ1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "PRDM2_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "SPEN_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZBTB17_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "PAX7_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZBTB40_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZNF436_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "E2F2_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "GRHL3_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "RUNX3_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZNF683_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "LIN28A_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "AHDC1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "GMEB1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZBTB8B_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZBTB8A_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZNF362_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZSCAN20_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "TFAP2E_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "MTF1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "POU3F1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "HEYL_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "MYCL_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "RLF_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZFP69B_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZFP69_cnv",
         "rawType": "float64",
         "type": "float"
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        {
         "name": "ZNF684_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "NFYC_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "SCMH1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "FOXO6_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "HIVEP3_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "FOXJ3_cnv",
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        {
         "name": "YBX1_cnv",
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         "name": "CCDC17_cnv",
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        },
        {
         "name": "GPBP1L1_cnv",
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         "type": "float"
        },
        {
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        },
        {
         "name": "TAL1_cnv",
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        },
        {
         "name": "FOXE3_cnv",
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        {
         "name": "FOXD2_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "DMRTA2_cnv",
         "rawType": "float64",
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        },
        {
         "name": "DMRTB1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "GLIS1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "MYSM1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "JUN_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "NFIA_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "FOXD3_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "LHX8_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZZZ3_cnv",
         "rawType": "float64",
         "type": "float"
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        {
         "name": "GTF2B_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZNF326_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "BARHL2_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZNF644_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "GFI1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "MTF2_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "DR1_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ALX3_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "NHLH2_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "TBX15_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "ZNF697_cnv",
         "rawType": "float64",
         "type": "float"
        },
        {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SKI_cnv</th>\n",
       "      <th>HES5_cnv</th>\n",
       "      <th>PRDM16_cnv</th>\n",
       "      <th>TP73_cnv</th>\n",
       "      <th>HES3_cnv</th>\n",
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       "      <th>CAMTA1_cnv</th>\n",
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       "      <th>ZBTB33_expression</th>\n",
       "      <th>ELF4_expression</th>\n",
       "      <th>ZNF280C_expression</th>\n",
       "      <th>ZNF75D_expression</th>\n",
       "      <th>ZNF449_expression</th>\n",
       "      <th>HSFX2_expression</th>\n",
       "      <th>ZNF275_expression</th>\n",
       "      <th>MECP2_expression</th>\n",
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       "      <th>SKI_cnv</th>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.090598</td>\n",
       "      <td>0.087525</td>\n",
       "      <td>0.060668</td>\n",
       "      <td>0.060668</td>\n",
       "      <td>0.060668</td>\n",
       "      <td>0.038452</td>\n",
       "      <td>0.042026</td>\n",
       "      <td>-0.003970</td>\n",
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       "      <td>0.002918</td>\n",
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       "      <td>0.003462</td>\n",
       "      <td>0.007716</td>\n",
       "      <td>0.005655</td>\n",
       "      <td>0.005128</td>\n",
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       "    <tr>\n",
       "      <th>HES5_cnv</th>\n",
       "      <td>0.121488</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.093466</td>\n",
       "      <td>0.090317</td>\n",
       "      <td>0.058328</td>\n",
       "      <td>0.058328</td>\n",
       "      <td>0.058328</td>\n",
       "      <td>0.040487</td>\n",
       "      <td>0.044733</td>\n",
       "      <td>-0.005560</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002119</td>\n",
       "      <td>0.005240</td>\n",
       "      <td>0.004620</td>\n",
       "      <td>0.004766</td>\n",
       "      <td>0.007022</td>\n",
       "      <td>0.006147</td>\n",
       "      <td>0.002203</td>\n",
       "      <td>0.008722</td>\n",
       "      <td>0.005405</td>\n",
       "      <td>0.004386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRDM16_cnv</th>\n",
       "      <td>0.090598</td>\n",
       "      <td>0.093466</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.110448</td>\n",
       "      <td>0.074525</td>\n",
       "      <td>0.074525</td>\n",
       "      <td>0.074525</td>\n",
       "      <td>0.048196</td>\n",
       "      <td>0.052887</td>\n",
       "      <td>0.016089</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001217</td>\n",
       "      <td>0.000655</td>\n",
       "      <td>0.000489</td>\n",
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       "      <td>0.001863</td>\n",
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       "      <td>-0.000959</td>\n",
       "      <td>0.001243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TP73_cnv</th>\n",
       "      <td>0.087525</td>\n",
       "      <td>0.090317</td>\n",
       "      <td>0.110448</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.074279</td>\n",
       "      <td>0.074279</td>\n",
       "      <td>0.074279</td>\n",
       "      <td>0.048680</td>\n",
       "      <td>0.053503</td>\n",
       "      <td>0.016945</td>\n",
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       "      <td>0.001910</td>\n",
       "      <td>0.005360</td>\n",
       "      <td>0.006219</td>\n",
       "      <td>-0.001278</td>\n",
       "      <td>0.000442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HES3_cnv</th>\n",
       "      <td>0.060668</td>\n",
       "      <td>0.058328</td>\n",
       "      <td>0.074525</td>\n",
       "      <td>0.074279</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.104218</td>\n",
       "      <td>0.057470</td>\n",
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       "      <th>ZNF75D_expression</th>\n",
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       "      <td>0.010385</td>\n",
       "      <td>0.009092</td>\n",
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       "      <th>ZNF449_expression</th>\n",
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       "      <td>0.008235</td>\n",
       "      <td>0.008320</td>\n",
       "      <td>0.002023</td>\n",
       "      <td>0.006965</td>\n",
       "      <td>0.008262</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002846</td>\n",
       "      <td>0.006445</td>\n",
       "      <td>0.006525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HSFX2_expression</th>\n",
       "      <td>0.007716</td>\n",
       "      <td>0.008722</td>\n",
       "      <td>0.004962</td>\n",
       "      <td>0.006219</td>\n",
       "      <td>0.002517</td>\n",
       "      <td>0.002517</td>\n",
       "      <td>0.002517</td>\n",
       "      <td>0.004117</td>\n",
       "      <td>0.003175</td>\n",
       "      <td>-0.000784</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003239</td>\n",
       "      <td>0.004698</td>\n",
       "      <td>0.002855</td>\n",
       "      <td>0.004577</td>\n",
       "      <td>0.005837</td>\n",
       "      <td>0.006726</td>\n",
       "      <td>0.002846</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006698</td>\n",
       "      <td>0.006647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF275_expression</th>\n",
       "      <td>0.005655</td>\n",
       "      <td>0.005405</td>\n",
       "      <td>-0.000959</td>\n",
       "      <td>-0.001278</td>\n",
       "      <td>-0.001981</td>\n",
       "      <td>-0.001981</td>\n",
       "      <td>-0.001981</td>\n",
       "      <td>0.001011</td>\n",
       "      <td>0.001933</td>\n",
       "      <td>-0.000666</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006877</td>\n",
       "      <td>0.009710</td>\n",
       "      <td>0.008764</td>\n",
       "      <td>0.008636</td>\n",
       "      <td>0.006651</td>\n",
       "      <td>0.010385</td>\n",
       "      <td>0.006445</td>\n",
       "      <td>0.006698</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MECP2_expression</th>\n",
       "      <td>0.005128</td>\n",
       "      <td>0.004386</td>\n",
       "      <td>0.001243</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>-0.000854</td>\n",
       "      <td>-0.000854</td>\n",
       "      <td>-0.000854</td>\n",
       "      <td>0.001028</td>\n",
       "      <td>0.001682</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007423</td>\n",
       "      <td>0.008364</td>\n",
       "      <td>0.008501</td>\n",
       "      <td>0.007875</td>\n",
       "      <td>0.007037</td>\n",
       "      <td>0.009092</td>\n",
       "      <td>0.006525</td>\n",
       "      <td>0.006647</td>\n",
       "      <td>0.010248</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2875 rows × 2875 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    SKI_cnv  HES5_cnv  PRDM16_cnv  TP73_cnv  HES3_cnv  \\\n",
       "SKI_cnv            0.000000  0.121488    0.090598  0.087525  0.060668   \n",
       "HES5_cnv           0.121488  0.000000    0.093466  0.090317  0.058328   \n",
       "PRDM16_cnv         0.090598  0.093466    0.000000  0.110448  0.074525   \n",
       "TP73_cnv           0.087525  0.090317    0.110448  0.000000  0.074279   \n",
       "HES3_cnv           0.060668  0.058328    0.074525  0.074279  0.000000   \n",
       "...                     ...       ...         ...       ...       ...   \n",
       "ZNF75D_expression  0.005999  0.006147    0.001931  0.001910 -0.001397   \n",
       "ZNF449_expression  0.003462  0.002203    0.005258  0.005360  0.003936   \n",
       "HSFX2_expression   0.007716  0.008722    0.004962  0.006219  0.002517   \n",
       "ZNF275_expression  0.005655  0.005405   -0.000959 -0.001278 -0.001981   \n",
       "MECP2_expression   0.005128  0.004386    0.001243  0.000442 -0.000854   \n",
       "\n",
       "                   HES2_cnv  ZBTB48_cnv  THAP3_cnv  CAMTA1_cnv  CENPS_cnv  \\\n",
       "SKI_cnv            0.060668    0.060668   0.038452    0.042026  -0.003970   \n",
       "HES5_cnv           0.058328    0.058328   0.040487    0.044733  -0.005560   \n",
       "PRDM16_cnv         0.074525    0.074525   0.048196    0.052887   0.016089   \n",
       "TP73_cnv           0.074279    0.074279   0.048680    0.053503   0.016945   \n",
       "HES3_cnv           0.104218    0.104218   0.057470    0.061176   0.020651   \n",
       "...                     ...         ...        ...         ...        ...   \n",
       "ZNF75D_expression -0.001397   -0.001397  -0.001012    0.000815  -0.003833   \n",
       "ZNF449_expression  0.003936    0.003936   0.003086    0.003986  -0.001174   \n",
       "HSFX2_expression   0.002517    0.002517   0.004117    0.003175  -0.000784   \n",
       "ZNF275_expression -0.001981   -0.001981   0.001011    0.001933  -0.000666   \n",
       "MECP2_expression  -0.000854   -0.000854   0.001028    0.001682  -0.000574   \n",
       "\n",
       "                   ...  ZMAT1_expression  NKRF_expression  ZBTB33_expression  \\\n",
       "SKI_cnv            ...          0.002918         0.006346           0.003521   \n",
       "HES5_cnv           ...          0.002119         0.005240           0.004620   \n",
       "PRDM16_cnv         ...          0.001217         0.000655           0.000489   \n",
       "TP73_cnv           ...          0.001780         0.000565          -0.000289   \n",
       "HES3_cnv           ...         -0.006876         0.000511          -0.002677   \n",
       "...                ...               ...              ...                ...   \n",
       "ZNF75D_expression  ...          0.007560         0.011807           0.009348   \n",
       "ZNF449_expression  ...          0.009108         0.008235           0.008320   \n",
       "HSFX2_expression   ...          0.003239         0.004698           0.002855   \n",
       "ZNF275_expression  ...          0.006877         0.009710           0.008764   \n",
       "MECP2_expression   ...          0.007423         0.008364           0.008501   \n",
       "\n",
       "                   ELF4_expression  ZNF280C_expression  ZNF75D_expression  \\\n",
       "SKI_cnv                   0.005611            0.006613           0.005999   \n",
       "HES5_cnv                  0.004766            0.007022           0.006147   \n",
       "PRDM16_cnv               -0.001649            0.001863           0.001931   \n",
       "TP73_cnv                 -0.001510            0.002443           0.001910   \n",
       "HES3_cnv                 -0.002369           -0.001003          -0.001397   \n",
       "...                            ...                 ...                ...   \n",
       "ZNF75D_expression         0.009561            0.007942           0.000000   \n",
       "ZNF449_expression         0.002023            0.006965           0.008262   \n",
       "HSFX2_expression          0.004577            0.005837           0.006726   \n",
       "ZNF275_expression         0.008636            0.006651           0.010385   \n",
       "MECP2_expression          0.007875            0.007037           0.009092   \n",
       "\n",
       "                   ZNF449_expression  HSFX2_expression  ZNF275_expression  \\\n",
       "SKI_cnv                     0.003462          0.007716           0.005655   \n",
       "HES5_cnv                    0.002203          0.008722           0.005405   \n",
       "PRDM16_cnv                  0.005258          0.004962          -0.000959   \n",
       "TP73_cnv                    0.005360          0.006219          -0.001278   \n",
       "HES3_cnv                    0.003936          0.002517          -0.001981   \n",
       "...                              ...               ...                ...   \n",
       "ZNF75D_expression           0.008262          0.006726           0.010385   \n",
       "ZNF449_expression           0.000000          0.002846           0.006445   \n",
       "HSFX2_expression            0.002846          0.000000           0.006698   \n",
       "ZNF275_expression           0.006445          0.006698           0.000000   \n",
       "MECP2_expression            0.006525          0.006647           0.010248   \n",
       "\n",
       "                   MECP2_expression  \n",
       "SKI_cnv                    0.005128  \n",
       "HES5_cnv                   0.004386  \n",
       "PRDM16_cnv                 0.001243  \n",
       "TP73_cnv                   0.000442  \n",
       "HES3_cnv                  -0.000854  \n",
       "...                             ...  \n",
       "ZNF75D_expression          0.009092  \n",
       "ZNF449_expression          0.006525  \n",
       "HSFX2_expression           0.006647  \n",
       "ZNF275_expression          0.010248  \n",
       "MECP2_expression           0.000000  \n",
       "\n",
       "[2875 rows x 2875 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dragons['cms2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# check how many cnv nodes\n",
    "n_cnvs = np.array([i.endswith('cnv') for i in dragons['cms2'].columns]).sum()\n",
    "# check how many expression nodes\n",
    "n_expression = np.array([i.endswith('expression') for i in dragons['cms2'].columns]).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(2, 4, figsize = (20, 10))\n",
    "sns.heatmap(dragons['cms2'].values, cmap = 'RdBu_r', center = 0, xticklabels=False, yticklabels=False, ax = ax[0][0])\n",
    "ax[0][0].hlines(y = n_cnvs, xmin = 0, xmax = n_cnvs + n_expression, color = 'black', linestyle = '--')\n",
    "ax[0][0].vlines(x = n_cnvs, ymin = 0, ymax = n_cnvs + n_expression, color = 'black', linestyle = '--')\n",
    "\n",
    "sns.heatmap(dragons['cms4'].values, cmap = 'RdBu_r', center = 0, xticklabels=False, yticklabels=False, ax = ax[1][0])\n",
    "ax[1][0].hlines(y = n_cnvs, xmin = 0, xmax = n_cnvs + n_expression, color = 'black', linestyle = '--')\n",
    "ax[1][0].vlines(x = n_cnvs, ymin = 0, ymax = n_cnvs + n_expression, color = 'black', linestyle = '--')\n",
    "\n",
    "sns.heatmap(dragons['cms2'].iloc[:n_cnvs,:n_cnvs].values, cmap = 'RdBu_r', center = 0, xticklabels=False, yticklabels=False, ax = ax[0][1])\n",
    "sns.heatmap(dragons['cms4'].iloc[:n_cnvs,:n_cnvs].values, cmap = 'RdBu_r', center = 0, xticklabels=False, yticklabels=False, ax = ax[1][1])\n",
    "\n",
    "\n",
    "sns.heatmap(dragons['cms2'].iloc[n_cnvs:,:n_cnvs].values, cmap = 'RdBu_r', center = 0, xticklabels=False, yticklabels=False, ax = ax[0][2])\n",
    "sns.heatmap(dragons['cms4'].iloc[n_cnvs:,:n_cnvs].values, cmap = 'RdBu_r', center = 0, xticklabels=False, yticklabels=False, ax = ax[1][2])\n",
    "\n",
    "sns.heatmap(dragons['cms2'].iloc[n_cnvs:,n_cnvs:].values, cmap = 'RdBu_r', center = 0, xticklabels=False, yticklabels=False, ax = ax[0][3])\n",
    "sns.heatmap(dragons['cms4'].iloc[n_cnvs:,n_cnvs:].values, cmap = 'RdBu_r', center = 0, xticklabels=False, yticklabels=False, ax = ax[1][3])\n",
    "\n",
    "ax[0][0].set_ylabel('CMS2')\n",
    "ax[1][0].set_ylabel('CMS4')\n",
    "ax[0][0].set_title('All edges')\n",
    "ax[0][1].set_title('CNV-CNV edges')\n",
    "ax[0][2].set_title('Expression-CNV edges')\n",
    "ax[0][3].set_title('Expression-Expression edges')\n",
    "#f.savefig(os.path.join(output_folder, 'cms2-cms4-cnv-dragons.pdf'))\n",
    "f.savefig(os.path.join(output_folder, 'cms2-cms4-cnv-dragons.png'), dpi = 300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dragon['edge_type'] = dragon.node1_type +'-'+ dragon.node2_type\n",
    "f, ax = plt.subplots(1,2, figsize = (15,5))\n",
    "sns.violinplot(data = dragon.reset_index(), y = 'cms2', x = 'edge_type', ax = ax[0])\n",
    "sns.violinplot(data = dragon.reset_index(), y = 'cms4', x = 'edge_type', ax = ax[1])\n",
    "f.savefig(os.path.join(output_folder, 'cms2-cms4-edge-distribution.pdf'), dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Structural effects of CNV on edge weights\n",
    "\n",
    "CNV usually involve deletions of duplications of DNA segments. For this reason, CNVs  of genes are dependent on the gene's\n",
    "location on the genome. This effect is also visible also in our networks, that end up having blocks of similar edges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "seqid",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "source",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "start",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "end",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "strand",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "gene_id",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "gene_name",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "gene_type",
         "rawType": "object",
         "type": "string"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "dd2de8a5-1781-4651-94e3-a047c130c0c7",
       "rows": [
        [
         "1",
         "chr1",
         "HAVANA",
         "11869",
         "14409",
         "+",
         "ENSG00000223972.5",
         "DDX11L1",
         "transcribed_unprocessed_pseudogene"
        ],
        [
         "2",
         "chr1",
         "HAVANA",
         "14404",
         "29570",
         "-",
         "ENSG00000227232.5",
         "WASH7P",
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         "ENSG00000237094.11",
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         "451678",
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         "ENSG00000278566.1",
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        ],
        [
         "30",
         "chr1",
         "HAVANA",
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         "485208",
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         "ENSG00000224813.3",
         "SEPT14P13",
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        ],
        [
         "31",
         "chr1",
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         "ENSG00000233653.3",
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        ],
        [
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         "ENSG00000250575.1",
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        ],
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         "ENSG00000278757.1",
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        ],
        [
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        ],
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        ]
       ],
       "shape": {
        "columns": 8,
        "rows": 63856
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seqid</th>\n",
       "      <th>source</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>strand</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>gene_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>11869</td>\n",
       "      <td>14409</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000223972.5</td>\n",
       "      <td>DDX11L1</td>\n",
       "      <td>transcribed_unprocessed_pseudogene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>14404</td>\n",
       "      <td>29570</td>\n",
       "      <td>-</td>\n",
       "      <td>ENSG00000227232.5</td>\n",
       "      <td>WASH7P</td>\n",
       "      <td>unprocessed_pseudogene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chr1</td>\n",
       "      <td>ENSEMBL</td>\n",
       "      <td>17369</td>\n",
       "      <td>17436</td>\n",
       "      <td>-</td>\n",
       "      <td>ENSG00000278267.1</td>\n",
       "      <td>MIR6859-1</td>\n",
       "      <td>miRNA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>29554</td>\n",
       "      <td>31109</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000243485.5</td>\n",
       "      <td>MIR1302-2HG</td>\n",
       "      <td>lincRNA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>chr1</td>\n",
       "      <td>ENSEMBL</td>\n",
       "      <td>30366</td>\n",
       "      <td>30503</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000284332.1</td>\n",
       "      <td>MIR1302-2</td>\n",
       "      <td>miRNA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63852</th>\n",
       "      <td>KI270734.1</td>\n",
       "      <td>ENSEMBL</td>\n",
       "      <td>72411</td>\n",
       "      <td>74814</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000276017.1</td>\n",
       "      <td>AC007325.1</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63853</th>\n",
       "      <td>KI270734.1</td>\n",
       "      <td>ENSEMBL</td>\n",
       "      <td>131494</td>\n",
       "      <td>137392</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000278817.1</td>\n",
       "      <td>AC007325.4</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63854</th>\n",
       "      <td>KI270734.1</td>\n",
       "      <td>ENSEMBL</td>\n",
       "      <td>138082</td>\n",
       "      <td>161852</td>\n",
       "      <td>-</td>\n",
       "      <td>ENSG00000277196.4</td>\n",
       "      <td>AC007325.2</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63855</th>\n",
       "      <td>KI270744.1</td>\n",
       "      <td>ENSEMBL</td>\n",
       "      <td>51009</td>\n",
       "      <td>51114</td>\n",
       "      <td>-</td>\n",
       "      <td>ENSG00000278625.1</td>\n",
       "      <td>U6</td>\n",
       "      <td>snRNA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63856</th>\n",
       "      <td>KI270750.1</td>\n",
       "      <td>ENSEMBL</td>\n",
       "      <td>148668</td>\n",
       "      <td>148843</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000277374.1</td>\n",
       "      <td>U1</td>\n",
       "      <td>snRNA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>63856 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            seqid   source   start     end strand            gene_id  \\\n",
       "1            chr1   HAVANA   11869   14409      +  ENSG00000223972.5   \n",
       "2            chr1   HAVANA   14404   29570      -  ENSG00000227232.5   \n",
       "3            chr1  ENSEMBL   17369   17436      -  ENSG00000278267.1   \n",
       "4            chr1   HAVANA   29554   31109      +  ENSG00000243485.5   \n",
       "5            chr1  ENSEMBL   30366   30503      +  ENSG00000284332.1   \n",
       "...           ...      ...     ...     ...    ...                ...   \n",
       "63852  KI270734.1  ENSEMBL   72411   74814      +  ENSG00000276017.1   \n",
       "63853  KI270734.1  ENSEMBL  131494  137392      +  ENSG00000278817.1   \n",
       "63854  KI270734.1  ENSEMBL  138082  161852      -  ENSG00000277196.4   \n",
       "63855  KI270744.1  ENSEMBL   51009   51114      -  ENSG00000278625.1   \n",
       "63856  KI270750.1  ENSEMBL  148668  148843      +  ENSG00000277374.1   \n",
       "\n",
       "         gene_name                           gene_type  \n",
       "1          DDX11L1  transcribed_unprocessed_pseudogene  \n",
       "2           WASH7P              unprocessed_pseudogene  \n",
       "3        MIR6859-1                               miRNA  \n",
       "4      MIR1302-2HG                             lincRNA  \n",
       "5        MIR1302-2                               miRNA  \n",
       "...            ...                                 ...  \n",
       "63852   AC007325.1                      protein_coding  \n",
       "63853   AC007325.4                      protein_coding  \n",
       "63854   AC007325.2                      protein_coding  \n",
       "63855           U6                               snRNA  \n",
       "63856           U1                               snRNA  \n",
       "\n",
       "[63856 rows x 8 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We annotate the edges to the DNA location\n",
    "gencode = pd.read_csv('../data/external/gen_v26_mapping.csv', index_col = 0)\n",
    "gencode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cols = pd.DataFrame(dragons['cms2'].columns)\n",
    "df_cols.columns = ['col_name']\n",
    "df_cols['tf'] = df_cols['col_name'].str.split('_').str[0]\n",
    "df_cols = df_cols.merge(gencode, left_on = 'tf', right_on = 'gene_name', how = 'left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
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         "rawType": "int64",
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        {
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         "RLF_cnv",
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         "40531561.0",
         "40548169.0",
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         "ENSG00000117010.15",
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         "40691648.0",
         "40771603.0",
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         "SCMH1_cnv",
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         "HAVANA",
         "41027200.0",
         "41242154.0",
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         "ENSG00000010803.16",
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         "FOXO6_cnv",
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         "41383590.0",
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         "44",
         "HIVEP3_cnv",
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         "42035925.0",
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         "FOXJ3_cnv",
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         "42176539.0",
         "42335877.0",
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         "ENSG00000198815.8",
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         "YBX1_cnv",
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         "42702349.0",
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         "ZNF691_cnv",
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         "HAVANA",
         "42846573.0",
         "42852477.0",
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         "ENSG00000164011.17",
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         "KLF17_cnv",
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         "44118850.0",
         "44135140.0",
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         "ENSG00000171872.4",
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         "CCDC17_cnv",
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         "45620044.0",
         "45624057.0",
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         "ENSG00000159588.14",
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         "HAVANA",
         "45627304.0",
         "45688113.0",
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         "ENSG00000159592.10",
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         "DMBX1_cnv",
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         "HAVANA",
         "46506996.0",
         "46514226.0",
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         "ENSG00000197587.10",
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         "TAL1_cnv",
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         "HAVANA",
         "47216290.0",
         "47232220.0",
         "-",
         "ENSG00000162367.11",
         "TAL1",
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         "FOXE3_cnv",
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         "HAVANA",
         "47416072.0",
         "47418052.0",
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         "ENSG00000186790.5",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>col_name</th>\n",
       "      <th>tf</th>\n",
       "      <th>seqid</th>\n",
       "      <th>source</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>strand</th>\n",
       "      <th>gene_id</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>gene_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SKI_cnv</td>\n",
       "      <td>SKI</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>2228695.0</td>\n",
       "      <td>2310119.0</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000157933.9</td>\n",
       "      <td>SKI</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HES5_cnv</td>\n",
       "      <td>HES5</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>2528745.0</td>\n",
       "      <td>2530245.0</td>\n",
       "      <td>-</td>\n",
       "      <td>ENSG00000197921.5</td>\n",
       "      <td>HES5</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PRDM16_cnv</td>\n",
       "      <td>PRDM16</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>3069168.0</td>\n",
       "      <td>3438621.0</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000142611.16</td>\n",
       "      <td>PRDM16</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TP73_cnv</td>\n",
       "      <td>TP73</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>3652520.0</td>\n",
       "      <td>3736201.0</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000078900.14</td>\n",
       "      <td>TP73</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>HES3_cnv</td>\n",
       "      <td>HES3</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>6244192.0</td>\n",
       "      <td>6245578.0</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000173673.7</td>\n",
       "      <td>HES3</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>ZNF669_cnv</td>\n",
       "      <td>ZNF669</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>247099962.0</td>\n",
       "      <td>247104372.0</td>\n",
       "      <td>-</td>\n",
       "      <td>ENSG00000188295.14</td>\n",
       "      <td>ZNF669</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>ZNF124_cnv</td>\n",
       "      <td>ZNF124</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>247121975.0</td>\n",
       "      <td>247172016.0</td>\n",
       "      <td>-</td>\n",
       "      <td>ENSG00000196418.12</td>\n",
       "      <td>ZNF124</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>ZNF496_cnv</td>\n",
       "      <td>ZNF496</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>247297412.0</td>\n",
       "      <td>247331846.0</td>\n",
       "      <td>-</td>\n",
       "      <td>ENSG00000162714.12</td>\n",
       "      <td>ZNF496</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>ZNF672_cnv</td>\n",
       "      <td>ZNF672</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>248838210.0</td>\n",
       "      <td>248849517.0</td>\n",
       "      <td>+</td>\n",
       "      <td>ENSG00000171161.12</td>\n",
       "      <td>ZNF672</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>ZNF692_cnv</td>\n",
       "      <td>ZNF692</td>\n",
       "      <td>chr1</td>\n",
       "      <td>HAVANA</td>\n",
       "      <td>248850006.0</td>\n",
       "      <td>248859144.0</td>\n",
       "      <td>-</td>\n",
       "      <td>ENSG00000171163.15</td>\n",
       "      <td>ZNF692</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>127 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       col_name      tf seqid  source        start          end strand  \\\n",
       "0       SKI_cnv     SKI  chr1  HAVANA    2228695.0    2310119.0      +   \n",
       "1      HES5_cnv    HES5  chr1  HAVANA    2528745.0    2530245.0      -   \n",
       "3    PRDM16_cnv  PRDM16  chr1  HAVANA    3069168.0    3438621.0      +   \n",
       "4      TP73_cnv    TP73  chr1  HAVANA    3652520.0    3736201.0      +   \n",
       "5      HES3_cnv    HES3  chr1  HAVANA    6244192.0    6245578.0      +   \n",
       "..          ...     ...   ...     ...          ...          ...    ...   \n",
       "127  ZNF669_cnv  ZNF669  chr1  HAVANA  247099962.0  247104372.0      -   \n",
       "128  ZNF124_cnv  ZNF124  chr1  HAVANA  247121975.0  247172016.0      -   \n",
       "129  ZNF496_cnv  ZNF496  chr1  HAVANA  247297412.0  247331846.0      -   \n",
       "130  ZNF672_cnv  ZNF672  chr1  HAVANA  248838210.0  248849517.0      +   \n",
       "131  ZNF692_cnv  ZNF692  chr1  HAVANA  248850006.0  248859144.0      -   \n",
       "\n",
       "                gene_id gene_name       gene_type  \n",
       "0     ENSG00000157933.9       SKI  protein_coding  \n",
       "1     ENSG00000197921.5      HES5  protein_coding  \n",
       "3    ENSG00000142611.16    PRDM16  protein_coding  \n",
       "4    ENSG00000078900.14      TP73  protein_coding  \n",
       "5     ENSG00000173673.7      HES3  protein_coding  \n",
       "..                  ...       ...             ...  \n",
       "127  ENSG00000188295.14    ZNF669  protein_coding  \n",
       "128  ENSG00000196418.12    ZNF124  protein_coding  \n",
       "129  ENSG00000162714.12    ZNF496  protein_coding  \n",
       "130  ENSG00000171161.12    ZNF672  protein_coding  \n",
       "131  ENSG00000171163.15    ZNF692  protein_coding  \n",
       "\n",
       "[127 rows x 10 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chr1_cols = df_cols[(df_cols['col_name'].str.endswith('_cnv'))&(df_cols['seqid']=='chr1')].sort_values(by = 'start')\n",
    "chr22_cols = df_cols[(df_cols['col_name'].str.endswith('_cnv'))&(df_cols['seqid']=='chr4')].sort_values(by = 'start')\n",
    "\n",
    "chr1_cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(2, 2, figsize = (10, 8),)\n",
    "sns.set_context('notebook', font_scale = 1)\n",
    "sns.heatmap(dragons['cms2'].loc[chr1_cols.col_name, chr1_cols.col_name].values, cmap = 'RdBu_r', center = 0, ax = ax[0][0], xticklabels=False, yticklabels=False)\n",
    "sns.heatmap(dragons['cms4'].loc[chr1_cols.col_name, chr1_cols.col_name].values, cmap = 'RdBu_r', center = 0, ax = ax[0][1], xticklabels=False, yticklabels=False)\n",
    "\n",
    "sns.heatmap(dragons['cms2'].loc[chr22_cols.col_name, chr22_cols.col_name].values, cmap = 'RdBu_r', center = 0, ax = ax[1][0], xticklabels=False, yticklabels=False)\n",
    "sns.heatmap(dragons['cms4'].loc[chr22_cols.col_name, chr22_cols.col_name].values, cmap = 'RdBu_r', center = 0, ax = ax[1][1], xticklabels=False, yticklabels=False)\n",
    "\n",
    "ax[0][0].set_title('CMS2 DRAGON CNV-CNV edges')\n",
    "ax[0][1].set_title('CMS4 DRAGON CNV-CNV edges')\n",
    "ax[1][0].set_title('CMS2 DRAGON CNV-CNV edges')\n",
    "ax[1][1].set_title('CMS4 DRAGON CNV-CNV edges')\n",
    "\n",
    "fs = 12\n",
    "ax[0][0].set_xlabel('chr1 genes', fontsize = fs)\n",
    "ax[0][0].set_ylabel('chr1 genes', fontsize = fs)\n",
    "ax[0][1].set_xlabel('chr1 genes', fontsize = fs)\n",
    "ax[0][1].set_ylabel('chr1 genes', fontsize = fs)\n",
    "\n",
    "ax[1][0].set_xlabel('chr4 genes')\n",
    "ax[1][0].set_ylabel('chr4 genes')\n",
    "ax[1][1].set_xlabel('chr4 genes')\n",
    "ax[1][1].set_ylabel('chr4 genes')\n",
    "\n",
    "f.savefig(os.path.join(output_folder, 'cms2-cms4-blocks.png'), dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation between CNV and expression on the same TF\n",
    "\n",
    "First we plot the histograms of the edges, comparing those for the same TF to those of different TFs "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
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         "name": "edge",
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>mean</th>\n",
       "      <th>abs_mean</th>\n",
       "      <th>var</th>\n",
       "      <th>node1_type</th>\n",
       "      <th>node2_type</th>\n",
       "      <th>node1_tf</th>\n",
       "      <th>node2_tf</th>\n",
       "      <th>cms2_abs</th>\n",
       "      <th>cms4_abs</th>\n",
       "      <th>same</th>\n",
       "      <th>edge_type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edge</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP2</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP2_expression</td>\n",
       "      <td>-0.000867</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.001092</td>\n",
       "      <td>2.385443e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP2</td>\n",
       "      <td>0.000867</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP_expression</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>-0.000656</td>\n",
       "      <td>-0.000143</td>\n",
       "      <td>0.000513</td>\n",
       "      <td>5.257575e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP</td>\n",
       "      <td>0.000369</td>\n",
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       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AEBP1</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP1_expression</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>-0.001124</td>\n",
       "      <td>-0.000419</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>9.952867e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>AEBP1</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>0.001124</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AEBP2</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP2_expression</td>\n",
       "      <td>-0.001812</td>\n",
       "      <td>-0.000214</td>\n",
       "      <td>-0.001013</td>\n",
       "      <td>0.001013</td>\n",
       "      <td>1.275843e-06</td>\n",
       "      <td>cnv</td>\n",
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       "      <td>AC008770.3</td>\n",
       "      <td>AEBP2</td>\n",
       "      <td>0.001812</td>\n",
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       "      <td>cnv-expression</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AHCTF1</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AHCTF1_expression</td>\n",
       "      <td>-0.000704</td>\n",
       "      <td>0.000619</td>\n",
       "      <td>-0.000043</td>\n",
       "      <td>0.000662</td>\n",
       "      <td>8.756109e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>AHCTF1</td>\n",
       "      <td>0.000704</td>\n",
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       "      <td>cnv-expression</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            node1              node2      cms2      cms4  \\\n",
       "edge                                                                       \n",
       "AC008770.3-ADNP2   AC008770.3_cnv   ADNP2_expression -0.000867  0.001317   \n",
       "AC008770.3-ADNP    AC008770.3_cnv    ADNP_expression  0.000369 -0.000656   \n",
       "AC008770.3-AEBP1   AC008770.3_cnv   AEBP1_expression  0.000287 -0.001124   \n",
       "AC008770.3-AEBP2   AC008770.3_cnv   AEBP2_expression -0.001812 -0.000214   \n",
       "AC008770.3-AHCTF1  AC008770.3_cnv  AHCTF1_expression -0.000704  0.000619   \n",
       "\n",
       "                       mean  abs_mean           var node1_type  node2_type  \\\n",
       "edge                                                                         \n",
       "AC008770.3-ADNP2   0.000225  0.001092  2.385443e-06        cnv  expression   \n",
       "AC008770.3-ADNP   -0.000143  0.000513  5.257575e-07        cnv  expression   \n",
       "AC008770.3-AEBP1  -0.000419  0.000705  9.952867e-07        cnv  expression   \n",
       "AC008770.3-AEBP2  -0.001013  0.001013  1.275843e-06        cnv  expression   \n",
       "AC008770.3-AHCTF1 -0.000043  0.000662  8.756109e-07        cnv  expression   \n",
       "\n",
       "                     node1_tf node2_tf  cms2_abs  cms4_abs  same  \\\n",
       "edge                                                               \n",
       "AC008770.3-ADNP2   AC008770.3    ADNP2  0.000867  0.001317     0   \n",
       "AC008770.3-ADNP    AC008770.3     ADNP  0.000369  0.000656     0   \n",
       "AC008770.3-AEBP1   AC008770.3    AEBP1  0.000287  0.001124     0   \n",
       "AC008770.3-AEBP2   AC008770.3    AEBP2  0.001812  0.000214     0   \n",
       "AC008770.3-AHCTF1  AC008770.3   AHCTF1  0.000704  0.000619     0   \n",
       "\n",
       "                        edge_type  \n",
       "edge                               \n",
       "AC008770.3-ADNP2   cnv-expression  \n",
       "AC008770.3-ADNP    cnv-expression  \n",
       "AC008770.3-AEBP1   cnv-expression  \n",
       "AC008770.3-AEBP2   cnv-expression  \n",
       "AC008770.3-AHCTF1  cnv-expression  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get only CNV to expression edges\n",
    "dragon_trans = dragon[(dragon.node1_type!=dragon.node2_type)]\n",
    "dragon_trans.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BRF2-BRF2\n",
      "BRF2\n",
      "0.0560533777726564\n",
      "0.0360682896319652\n",
      "ZNF337-ZNF337\n",
      "ZNF337\n",
      "0.0529500815396718\n",
      "0.0280970314562676\n",
      "GZF1-GZF1\n",
      "GZF1\n",
      "0.0426548243757754\n",
      "0.0278825555561505\n",
      "ZBED1-ZBED1\n",
      "ZBED1\n",
      "0.0528285143846182\n",
      "0.0153129777827016\n",
      "ZNF703-ZNF703\n",
      "ZNF703\n",
      "0.0406710505629657\n",
      "0.0210936115312876\n",
      "SMAD4-SMAD4\n",
      "SMAD4\n",
      "0.0274666637403883\n",
      "0.0313527119640741\n",
      "ZNF18-ZNF18\n",
      "ZNF18\n",
      "0.0363044697105695\n",
      "0.015479631339551\n",
      "TEAD4-TEAD4\n",
      "TEAD4\n",
      "0.0257472410050087\n",
      "0.0241503347067129\n",
      "ZNF133-ZNF133\n",
      "ZNF133\n",
      "0.0345568621204921\n",
      "0.0148061243441173\n",
      "ZNF131-ZNF131\n",
      "ZNF131\n",
      "0.0269995210311405\n",
      "0.0210178208387208\n",
      "ZNF395-ZNF395\n",
      "ZNF395\n",
      "0.0321083867749744\n",
      "0.0155306315736204\n",
      "THAP1-THAP1\n",
      "THAP1\n",
      "0.0338870337495099\n",
      "0.0106041168989708\n",
      "ZNF519-ZNF519\n",
      "ZNF519\n",
      "0.0272761873435411\n",
      "0.0169140820382026\n",
      "IRF2-IRF2\n",
      "IRF2\n",
      "0.0219632150056907\n",
      "0.0196386199099001\n",
      "GATA6-GATA6\n",
      "GATA6\n",
      "0.0252068790773463\n",
      "0.0157553477095939\n",
      "ZBTB14-ZBTB14\n",
      "ZBTB14\n",
      "0.0177228797430795\n",
      "0.0213548890251655\n",
      "FOXM1-FOXM1\n",
      "FOXM1\n",
      "0.0226287603409302\n",
      "0.0162561841956455\n",
      "ZNF596-ZNF596\n",
      "ZNF596\n",
      "0.0269428251291279\n",
      "0.0111687428329953\n",
      "OVOL2-OVOL2\n",
      "OVOL2\n",
      "0.0274938075044078\n",
      "0.010307324886788\n",
      "NFXL1-NFXL1\n",
      "NFXL1\n",
      "0.0239686814977159\n",
      "0.0137637467935455\n"
     ]
    }
   ],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/4158463479.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dragon_trans['same TF'] = (dragon_trans.node1_tf == dragon_trans.node2_tf)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.set_context('paper', font_scale = 1.5)\n",
    "dragon_trans['same TF'] = (dragon_trans.node1_tf == dragon_trans.node2_tf)\n",
    "f, ax = plt.subplots(1,2, figsize = (12,4))\n",
    "sns.histplot(x = 'cms2', data = dragon_trans, hue = 'same TF', stat = 'density', common_norm  = False, kde = True, ax = ax[0])\n",
    "sns.histplot(x = 'cms4', data = dragon_trans, hue = 'same TF', stat = 'density', common_norm  = False, kde = True, ax = ax[1])\n",
    "plt.tight_layout()\n",
    "f.savefig(output_folder+'dragon_cnv_sametf_values.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Annotate to cancer datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Hugo Symbol",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Entrez Gene ID",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "GRCh37 Isoform",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "GRCh37 RefSeq",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "GRCh38 Isoform",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "GRCh38 RefSeq",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "# of occurrence within resources (Column D-J)",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "OncoKB Annotated",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Is Oncogene",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Is Tumor Suppressor Gene",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "MSK-IMPACT",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "MSK-HEME",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "FOUNDATION ONE",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "FOUNDATION ONE HEME",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Vogelstein",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "SANGER CGC(05/30/2017)",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Gene Aliases",
         "rawType": "object",
         "type": "unknown"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "95c10478-e9af-404c-b233-77a9f4034771",
       "rows": [
        [
         "0",
         "ABL1",
         "25",
         "ENST00000318560",
         "NM_005157.4",
         "ENST00000318560",
         "NM_005157.4",
         "7",
         "Yes",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "ABL, JTK7, c-ABL"
        ],
        [
         "1",
         "AKT1",
         "207",
         "ENST00000349310",
         "NM_001014431.1",
         "ENST00000349310",
         "NM_001014431.1",
         "7",
         "Yes",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
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         "Yes",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
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         "Yes",
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         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
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         "Yes",
         "No",
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         "Yes",
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         "Yes",
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         "Yes",
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         "Yes",
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         "7",
         "Yes",
         "No",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
         "Yes",
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         "Yes",
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         "Yes",
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         "Yes",
         "Yes",
         "Yes",
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         "Yes",
         "No",
         "Yes",
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         "Yes",
         "Yes",
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         "Yes",
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         "Yes",
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         "Yes",
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         "Yes",
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         "Yes",
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         "Yes",
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         "Yes",
         "Yes",
         "Yes",
         "Yes",
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         "Yes",
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         "Yes",
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         "Yes",
         "Yes",
         "Yes",
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         "Yes",
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         "Yes",
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         "Yes",
         "Yes",
         "Yes",
         "Yes",
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         "Yes",
         "Yes",
         "Yes",
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         "Yes",
         "Yes",
         "Yes",
         "Yes",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Hugo Symbol</th>\n",
       "      <th>Entrez Gene ID</th>\n",
       "      <th>GRCh37 Isoform</th>\n",
       "      <th>GRCh37 RefSeq</th>\n",
       "      <th>GRCh38 Isoform</th>\n",
       "      <th>GRCh38 RefSeq</th>\n",
       "      <th># of occurrence within resources (Column D-J)</th>\n",
       "      <th>OncoKB Annotated</th>\n",
       "      <th>Is Oncogene</th>\n",
       "      <th>Is Tumor Suppressor Gene</th>\n",
       "      <th>MSK-IMPACT</th>\n",
       "      <th>MSK-HEME</th>\n",
       "      <th>FOUNDATION ONE</th>\n",
       "      <th>FOUNDATION ONE HEME</th>\n",
       "      <th>Vogelstein</th>\n",
       "      <th>SANGER CGC(05/30/2017)</th>\n",
       "      <th>Gene Aliases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABL1</td>\n",
       "      <td>25</td>\n",
       "      <td>ENST00000318560</td>\n",
       "      <td>NM_005157.4</td>\n",
       "      <td>ENST00000318560</td>\n",
       "      <td>NM_005157.4</td>\n",
       "      <td>7</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>ABL, JTK7, c-ABL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AKT1</td>\n",
       "      <td>207</td>\n",
       "      <td>ENST00000349310</td>\n",
       "      <td>NM_001014431.1</td>\n",
       "      <td>ENST00000349310</td>\n",
       "      <td>NM_001014431.1</td>\n",
       "      <td>7</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>AKT, PKB, PRKBA, RAC, RAC-alpha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ALK</td>\n",
       "      <td>238</td>\n",
       "      <td>ENST00000389048</td>\n",
       "      <td>NM_004304.4</td>\n",
       "      <td>ENST00000389048</td>\n",
       "      <td>NM_004304.4</td>\n",
       "      <td>7</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>CD246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AMER1</td>\n",
       "      <td>139285</td>\n",
       "      <td>ENST00000330258</td>\n",
       "      <td>NM_152424.3</td>\n",
       "      <td>ENST00000374869</td>\n",
       "      <td>NM_152424.3</td>\n",
       "      <td>7</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>FAM123B, FLJ39827, RP11-403E24.2, WTX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>APC</td>\n",
       "      <td>324</td>\n",
       "      <td>ENST00000257430</td>\n",
       "      <td>NM_000038.5</td>\n",
       "      <td>ENST00000257430</td>\n",
       "      <td>NM_000038.5</td>\n",
       "      <td>7</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DP2.5, PPP1R46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1079</th>\n",
       "      <td>ZFP36L2</td>\n",
       "      <td>678</td>\n",
       "      <td>ENST00000282388</td>\n",
       "      <td>NM_006887.4</td>\n",
       "      <td>ENST00000282388</td>\n",
       "      <td>NM_006887.4</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>ERF2, RNF162C, TIS11D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1080</th>\n",
       "      <td>ZMYM3</td>\n",
       "      <td>9203</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>DXS6673E, KIAA0385, ZNF198L2, ZNF261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1081</th>\n",
       "      <td>ZNF24</td>\n",
       "      <td>7572</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>KOX17, ZNF191, ZSCAN3, Zfp191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1082</th>\n",
       "      <td>ZNF331</td>\n",
       "      <td>55422</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>RITA, ZNF361, ZNF463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1083</th>\n",
       "      <td>ZNF750</td>\n",
       "      <td>79755</td>\n",
       "      <td>ENST00000269394</td>\n",
       "      <td>NM_024702.2</td>\n",
       "      <td>ENST00000269394</td>\n",
       "      <td>NM_024702.2</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>FLJ13841, Zfp750</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1084 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Hugo Symbol  Entrez Gene ID   GRCh37 Isoform   GRCh37 RefSeq  \\\n",
       "0           ABL1              25  ENST00000318560     NM_005157.4   \n",
       "1           AKT1             207  ENST00000349310  NM_001014431.1   \n",
       "2            ALK             238  ENST00000389048     NM_004304.4   \n",
       "3          AMER1          139285  ENST00000330258     NM_152424.3   \n",
       "4            APC             324  ENST00000257430     NM_000038.5   \n",
       "...          ...             ...              ...             ...   \n",
       "1079     ZFP36L2             678  ENST00000282388     NM_006887.4   \n",
       "1080       ZMYM3            9203              NaN             NaN   \n",
       "1081       ZNF24            7572              NaN             NaN   \n",
       "1082      ZNF331           55422              NaN             NaN   \n",
       "1083      ZNF750           79755  ENST00000269394     NM_024702.2   \n",
       "\n",
       "       GRCh38 Isoform   GRCh38 RefSeq  \\\n",
       "0     ENST00000318560     NM_005157.4   \n",
       "1     ENST00000349310  NM_001014431.1   \n",
       "2     ENST00000389048     NM_004304.4   \n",
       "3     ENST00000374869     NM_152424.3   \n",
       "4     ENST00000257430     NM_000038.5   \n",
       "...               ...             ...   \n",
       "1079  ENST00000282388     NM_006887.4   \n",
       "1080              NaN             NaN   \n",
       "1081              NaN             NaN   \n",
       "1082              NaN             NaN   \n",
       "1083  ENST00000269394     NM_024702.2   \n",
       "\n",
       "      # of occurrence within resources (Column D-J) OncoKB Annotated  \\\n",
       "0                                                 7              Yes   \n",
       "1                                                 7              Yes   \n",
       "2                                                 7              Yes   \n",
       "3                                                 7              Yes   \n",
       "4                                                 7              Yes   \n",
       "...                                             ...              ...   \n",
       "1079                                              1              Yes   \n",
       "1080                                              1               No   \n",
       "1081                                              1               No   \n",
       "1082                                              1               No   \n",
       "1083                                              1              Yes   \n",
       "\n",
       "     Is Oncogene Is Tumor Suppressor Gene MSK-IMPACT MSK-HEME FOUNDATION ONE  \\\n",
       "0            Yes                       No        Yes      Yes            Yes   \n",
       "1            Yes                       No        Yes      Yes            Yes   \n",
       "2            Yes                       No        Yes      Yes            Yes   \n",
       "3             No                      Yes        Yes      Yes            Yes   \n",
       "4             No                      Yes        Yes      Yes            Yes   \n",
       "...          ...                      ...        ...      ...            ...   \n",
       "1079          No                      Yes         No       No             No   \n",
       "1080          No                       No         No       No             No   \n",
       "1081          No                       No         No       No             No   \n",
       "1082          No                       No         No       No             No   \n",
       "1083          No                      Yes         No       No             No   \n",
       "\n",
       "     FOUNDATION ONE HEME Vogelstein SANGER CGC(05/30/2017)  \\\n",
       "0                    Yes        Yes                    Yes   \n",
       "1                    Yes        Yes                    Yes   \n",
       "2                    Yes        Yes                    Yes   \n",
       "3                    Yes        Yes                    Yes   \n",
       "4                    Yes        Yes                    Yes   \n",
       "...                  ...        ...                    ...   \n",
       "1079                  No         No                     No   \n",
       "1080                 Yes         No                     No   \n",
       "1081                 Yes         No                     No   \n",
       "1082                  No         No                    Yes   \n",
       "1083                  No         No                     No   \n",
       "\n",
       "                               Gene Aliases  \n",
       "0                          ABL, JTK7, c-ABL  \n",
       "1           AKT, PKB, PRKBA, RAC, RAC-alpha  \n",
       "2                                     CD246  \n",
       "3     FAM123B, FLJ39827, RP11-403E24.2, WTX  \n",
       "4                            DP2.5, PPP1R46  \n",
       "...                                     ...  \n",
       "1079                  ERF2, RNF162C, TIS11D  \n",
       "1080   DXS6673E, KIAA0385, ZNF198L2, ZNF261  \n",
       "1081          KOX17, ZNF191, ZSCAN3, Zfp191  \n",
       "1082                   RITA, ZNF361, ZNF463  \n",
       "1083                       FLJ13841, Zfp750  \n",
       "\n",
       "[1084 rows x 17 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oncokb = pd.read_csv('../data/external/oncokb_20221213.tsv', sep = '\\t')\n",
    "oncokb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
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         "rawType": "int64",
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         null,
         "2004.0",
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         "0.41",
         "thymidylate synthetase",
         "0.00025709",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
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         "2010.0",
         "KRAS",
         "0.88",
         "0.29",
         "KRAS proto-oncogene, GTPase",
         "0.99914",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2014.0",
         "130",
         "363",
         "3",
         "127",
         "3",
         "0",
         "R-HSA-109582,R-HSA-112316,R-HSA-1266738,R-HSA-162582,R-HSA-1643685,R-HSA-168256",
         "Hemostasis,Neuronal System,Developmental Biology,Signal Transduction,Disease,Immune System",
         "Enzyme modulator",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "P01116,L7RSL8,I1SRC5",
         "C0009404",
         "ENSG00000133703",
         "3845",
         "protein-coding",
         "108",
         "176",
         "395"
        ],
        [
         "7",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.8905472636815921",
         null,
         "2008.0",
         "MLH1",
         "0.88",
         "0.39",
         "mutL homolog 1",
         "0.0008378",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2008.0",
         "42",
         "363",
         "3",
         "2048",
         "3",
         "0",
         "R-HSA-1474165,R-HSA-1640170,R-HSA-1643685,R-HSA-73894,R-HSA-74160",
         "Reproduction,Cell Cycle,Disease,DNA Repair,Gene expression (Transcription)",
         "Nucleic acid binding",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "Q59EG3,H0Y818,P40692",
         "C0009404",
         "ENSG00000076242",
         "4292",
         "protein-coding",
         "7",
         "16",
         "22"
        ],
        [
         "8",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9258883248730964",
         null,
         "2007.0",
         "EGFR",
         "0.92",
         "0.27",
         "epidermal growth factor receptor",
         "0.98131",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2008.0",
         "98",
         "363",
         "2",
         "131",
         "3",
         "0",
         null,
         null,
         "Kinase",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "E7BSV0,C9JYS6,B7Z2I3,P00533,F2YGG7,Q504U8",
         "C0009404",
         "ENSG00000146648",
         "1956",
         "protein-coding",
         "60",
         "119",
         "304"
        ],
        [
         "9",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9449152542372882",
         null,
         "2014.0",
         "TGFB1",
         "0.92",
         "0.27",
         "transforming growth factor beta 1",
         "0.025965",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2014.0",
         "135",
         "363",
         "1",
         "38",
         "3",
         "0",
         "R-HSA-109582,R-HSA-1266738,R-HSA-1474244,R-HSA-162582,R-HSA-1643685,R-HSA-168256,R-HSA-392499,R-HSA-74160",
         "Hemostasis,Developmental Biology,Extracellular matrix organization,Signal Transduction,Disease,Immune System,Metabolism of proteins,Gene expression (Transcription)",
         "Signaling",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "P01137,A0A499FJK2",
         "C0009404",
         "ENSG00000105329",
         "7040",
         "protein-coding",
         "8",
         "29",
         "30"
        ],
        [
         "10",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9622641509433962",
         null,
         "2006.0",
         "BIRC5",
         "0.88",
         "0.36",
         "baculoviral IAP repeat containing 5",
         "0.056967",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2006.0",
         "23",
         "363",
         "1",
         "1",
         "3",
         "0",
         null,
         null,
         "Enzyme modulator",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "O15392,H3BLT4,A0A0B4J1S3",
         "C0009404",
         "ENSG00000089685",
         "332",
         "protein-coding",
         "2",
         "17",
         "21"
        ],
        [
         "11",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.893569844789357",
         null,
         "2008.0",
         "MSH2",
         "0.92",
         "0.39",
         "mutS homolog 2",
         "4.4059e-06",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2008.0",
         "56",
         "363",
         "1",
         "2591",
         "3",
         "0",
         "R-HSA-1643685,R-HSA-73894,R-HSA-74160",
         "Disease,DNA Repair,Gene expression (Transcription)",
         "Nucleic acid binding",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "P43246",
         "C0009404",
         "ENSG00000095002",
         "4436",
         "protein-coding",
         "6",
         "15",
         "16"
        ],
        [
         "12",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9280575539568344",
         null,
         null,
         "CCND1",
         "0.88",
         "0.32",
         "cyclin D1",
         "0.71899",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "69",
         "363",
         "0",
         "16",
         "3",
         "0",
         "R-HSA-1266738,R-HSA-162582,R-HSA-1640170,R-HSA-1643685,R-HSA-168256,R-HSA-4839726,R-HSA-74160",
         "Developmental Biology,Signal Transduction,Cell Cycle,Disease,Immune System,Chromatin organization,Gene expression (Transcription)",
         "Enzyme modulator",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "P24385,Q6FI00",
         "C0009404",
         "ENSG00000110092",
         "595",
         "protein-coding",
         "3",
         "42",
         "30"
        ],
        [
         "13",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9370967741935484",
         null,
         null,
         "PIK3CA",
         "0.92",
         "0.28",
         "phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha",
         "1.0",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "122",
         "363",
         "0",
         "264",
         "3",
         "0",
         "R-HSA-109582,R-HSA-1266738,R-HSA-1430728,R-HSA-1500931,R-HSA-162582,R-HSA-1643685,R-HSA-168256,R-HSA-8953897",
         "Hemostasis,Developmental Biology,Metabolism,Cell-Cell communication,Signal Transduction,Disease,Immune System,Cellular responses to stimuli",
         "Kinase",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "Q4LE51,P42336",
         "C0009404",
         "ENSG00000121879",
         "5290",
         "protein-coding",
         "19",
         "142",
         "161"
        ],
        [
         "14",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9526627218934912",
         null,
         null,
         "IL6",
         "0.96",
         "0.24",
         "interleukin 6",
         "0.19935",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "209",
         "363",
         "0",
         "6",
         "3",
         "0",
         "R-HSA-162582,R-HSA-1643685,R-HSA-168256,R-HSA-392499,R-HSA-74160,R-HSA-8953897",
         "Signal Transduction,Disease,Immune System,Metabolism of proteins,Gene expression (Transcription),Cellular responses to stimuli",
         null,
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "B5MC21,B4DVM1,P05231,Q75MH2,B4DNQ5",
         "C0009404",
         "ENSG00000136244",
         "3569",
         "protein-coding",
         "59",
         "36",
         "30"
        ],
        [
         "15",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9067357512953368",
         null,
         null,
         "NRAS",
         "0.83",
         "0.35",
         "NRAS proto-oncogene, GTPase",
         "0.93712",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "58",
         "363",
         "0",
         "108",
         "3",
         "0",
         "R-HSA-109582,R-HSA-112316,R-HSA-1266738,R-HSA-162582,R-HSA-1643685,R-HSA-168256",
         "Hemostasis,Neuronal System,Developmental Biology,Signal Transduction,Disease,Immune System",
         "Enzyme modulator",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "Q5U091,P01111",
         "C0009404",
         "ENSG00000213281",
         "4893",
         "protein-coding",
         "27",
         "10",
         "17"
        ],
        [
         "16",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9554140127388536",
         null,
         null,
         "TGFB2",
         "0.88",
         "0.31",
         "transforming growth factor beta 2",
         "0.99606",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "38",
         "363",
         "0",
         "277",
         "3",
         "0",
         "R-HSA-109582,R-HSA-1474244,R-HSA-162582",
         "Hemostasis,Extracellular matrix organization,Signal Transduction",
         "Signaling",
         "1.0",
         "Neoplastic Process (T191)",
         "disease",
         "Q59EG9,P61812",
         "C0009404",
         "ENSG00000092969",
         "7042",
         "protein-coding",
         "7",
         "17",
         "15"
        ],
        [
         "17",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9503311258278144",
         null,
         "1999.0",
         "PTGS2",
         "0.92",
         "0.33",
         "prostaglandin-endoperoxide synthase 2",
         "1.0",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2010.0",
         "142",
         "363",
         "6",
         "1",
         "3",
         "0",
         "R-HSA-1430728,R-HSA-168256",
         "Metabolism,Immune System",
         "Enzyme",
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "P35354",
         "C0009404",
         "ENSG00000073756",
         "5743",
         "protein-coding",
         "4",
         "43",
         "84"
        ],
        [
         "18",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9515151515151516",
         null,
         "2005.0",
         "SMAD4",
         "0.83",
         "0.37",
         "SMAD family member 4",
         "1.0",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2015.0",
         "59",
         "363",
         "3",
         "810",
         "3",
         "0",
         "R-HSA-1266738,R-HSA-162582,R-HSA-1643685,R-HSA-392499,R-HSA-74160",
         "Developmental Biology,Signal Transduction,Disease,Metabolism of proteins,Gene expression (Transcription)",
         "Transcription factor",
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "A0A024R274,Q13485",
         "C0009404",
         "ENSG00000141646",
         "4089",
         "protein-coding",
         "4",
         "10",
         "10"
        ],
        [
         "19",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9487179487179488",
         null,
         "2011.0",
         "TCF7L2",
         "0.88",
         "0.46",
         "transcription factor 7 like 2",
         "0.99541",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2014.0",
         "37",
         "363",
         "2",
         "108",
         "3",
         "0",
         null,
         null,
         null,
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "A0A994J711,C6ZRK2,C6ZRJ7,Q6FHW4,C6ZRK5,Q5VVR7,C6ZRK1,Q9NQB0,A0A0A0MTL7",
         "C0009404",
         "ENSG00000148737",
         "6934",
         "protein-coding",
         "2",
         "3",
         "3"
        ],
        [
         "20",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9090909090909092",
         null,
         "1999.0",
         "CDH1",
         "0.88",
         "0.33",
         "cadherin 1",
         "0.85165",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2008.0",
         "74",
         "363",
         "2",
         "1636",
         "3",
         "0",
         "R-HSA-1266738,R-HSA-1474244,R-HSA-1500931,R-HSA-162582,R-HSA-1643685,R-HSA-168256,R-HSA-5357801",
         "Developmental Biology,Extracellular matrix organization,Cell-Cell communication,Signal Transduction,Disease,Immune System,Programmed Cell Death",
         null,
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "Q9UII7,A0A0U2ZQU7,B3GN61,P12830",
         "C0009404",
         "ENSG00000039068",
         "999",
         "protein-coding",
         "3",
         "25",
         "27"
        ],
        [
         "21",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9469026548672568",
         null,
         "2013.0",
         "TNF",
         "0.96",
         "0.23",
         "tumor necrosis factor",
         "0.85687",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2013.0",
         "311",
         "363",
         "1",
         "9",
         "3",
         "0",
         null,
         null,
         "Signaling",
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "P01375,Q5STB3",
         "C0009404",
         "ENSG00000232810",
         "7124",
         "protein-coding",
         "53",
         "42",
         "27"
        ],
        [
         "22",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.951219512195122",
         null,
         "2008.0",
         "BCL2",
         "0.88",
         "0.3",
         "BCL2 apoptosis regulator",
         "0.98901",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2008.0",
         "80",
         "363",
         "1",
         "20",
         "3",
         "0",
         null,
         null,
         "Signaling",
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "P10415,A0A7I2V3S7",
         "C0009404",
         "ENSG00000171791",
         "596",
         "protein-coding",
         "3",
         "43",
         "33"
        ],
        [
         "23",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9521739130434784",
         null,
         "2019.0",
         "MYC",
         "0.88",
         "0.32",
         "MYC proto-oncogene, bHLH transcription factor",
         "1.0",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2019.0",
         "62",
         "363",
         "1",
         "7",
         "3",
         "0",
         "R-HSA-1266738,R-HSA-162582,R-HSA-1640170,R-HSA-1643685,R-HSA-168256,R-HSA-392499,R-HSA-74160,R-HSA-8953897",
         "Developmental Biology,Signal Transduction,Cell Cycle,Disease,Immune System,Metabolism of proteins,Gene expression (Transcription),Cellular responses to stimuli",
         "Transcription factor",
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "P01106",
         "C0009404",
         "ENSG00000136997",
         "4609",
         "protein-coding",
         "5",
         "40",
         "31"
        ],
        [
         "24",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9351851851851852",
         null,
         "2019.0",
         "CDKN2A",
         "0.88",
         "0.31",
         "cyclin dependent kinase inhibitor 2A",
         "0.61755",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2019.0",
         "109",
         "363",
         "1",
         "520",
         "3",
         "0",
         "R-HSA-1266738,R-HSA-1640170,R-HSA-1643685,R-HSA-392499,R-HSA-5357801,R-HSA-74160,R-HSA-8953897",
         "Developmental Biology,Cell Cycle,Disease,Metabolism of proteins,Programmed Cell Death,Gene expression (Transcription),Cellular responses to stimuli",
         null,
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "Q8N726,P42771,K7PML8",
         "C0009404",
         "ENSG00000147889",
         "1029",
         "protein-coding",
         "3",
         "7",
         "11"
        ],
        [
         "25",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.972972972972973",
         null,
         null,
         "AKT1",
         "0.88",
         "0.35",
         "AKT serine/threonine kinase 1",
         "0.99533",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "75",
         "363",
         "0",
         "158",
         "3",
         "0",
         "R-HSA-109582,R-HSA-1266738,R-HSA-1430728,R-HSA-162582,R-HSA-1640170,R-HSA-1643685,R-HSA-168256,R-HSA-5357801,R-HSA-5653656,R-HSA-74160,R-HSA-8953854,R-HSA-8953897",
         "Hemostasis,Developmental Biology,Metabolism,Signal Transduction,Cell Cycle,Disease,Immune System,Programmed Cell Death,Vesicle-mediated transport,Gene expression (Transcription),Metabolism of RNA,Cellular responses to stimuli",
         "Kinase",
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "B3KVH4,B0LPE5,P31749",
         "C0009404",
         "ENSG00000142208",
         "207",
         "protein-coding",
         "7",
         "6",
         "4"
        ],
        [
         "26",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.8823529411764706",
         null,
         null,
         "AXIN2",
         "0.75",
         "0.5",
         "axin 2",
         "0.99999",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "32",
         "363",
         "0",
         "1192",
         "3",
         "0",
         "R-HSA-162582,R-HSA-392499",
         "Signal Transduction,Metabolism of proteins",
         null,
         "0.95",
         "Neoplastic Process (T191)",
         "disease",
         "E7ES00,Q9Y2T1",
         "C0009404",
         "ENSG00000168646",
         "8313",
         "protein-coding",
         "2",
         "3",
         "3"
        ],
        [
         "27",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.8297872340425532",
         null,
         "2004.0",
         "MTHFR",
         "0.88",
         "0.34",
         "methylenetetrahydrofolate reductase",
         "1.0185e-11",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2016.0",
         "213",
         "363",
         "9",
         "214",
         "3",
         "0",
         "R-HSA-1430728",
         "Metabolism",
         null,
         "0.9",
         "Neoplastic Process (T191)",
         "disease",
         "Q59GJ6,P42898,Q8IU67",
         "C0009404",
         "ENSG00000177000",
         "4524",
         "protein-coding",
         "1",
         "13",
         "34"
        ],
        [
         "28",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9655172413793104",
         null,
         "2010.0",
         "KDR",
         "0.92",
         "0.36",
         "kinase insert domain receptor",
         "1.0",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2022.0",
         "62",
         "363",
         "2",
         "23",
         "3",
         "0",
         "R-HSA-1474244,R-HSA-162582,R-HSA-1643685,R-HSA-8953897",
         "Extracellular matrix organization,Signal Transduction,Disease,Cellular responses to stimuli",
         "Kinase",
         "0.9",
         "Neoplastic Process (T191)",
         "disease",
         "P35968",
         "C0009404",
         "ENSG00000128052",
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         "protein-coding",
         "7",
         "21",
         "17"
        ],
        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.942528735632184",
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         "2008.0",
         "MMP2",
         "0.88",
         "0.32",
         "matrix metallopeptidase 2",
         "6.2654e-05",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2011.0",
         "73",
         "363",
         "2",
         "80",
         "3",
         "0",
         "R-HSA-1266738,R-HSA-1474244,R-HSA-162582,R-HSA-168256,R-HSA-392499",
         "Developmental Biology,Extracellular matrix organization,Signal Transduction,Immune System,Metabolism of proteins",
         "Enzyme",
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         "Neoplastic Process (T191)",
         "disease",
         "P08253",
         "C0009404",
         "ENSG00000087245",
         "4313",
         "protein-coding",
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         "10",
         "11"
        ],
        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         "0.9333333333333332",
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         "2013.0",
         "POLE",
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         "0.48",
         "DNA polymerase epsilon, catalytic subunit",
         "2.4173999999999997e-38",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2015.0",
         "34",
         "363",
         "2",
         "1596",
         "3",
         "0",
         "R-HSA-1640170,R-HSA-69306,R-HSA-73894",
         "Cell Cycle,DNA Replication,DNA Repair",
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         "0.9",
         "Neoplastic Process (T191)",
         "disease",
         "Q07864",
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         "protein-coding",
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         "2",
         "2"
        ],
        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
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         "2003.0",
         "MKI67",
         "0.88",
         "0.3",
         "marker of proliferation Ki-67",
         "3.6334999999999996e-28",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2003.0",
         "24",
         "363",
         "1",
         "1",
         "3",
         "0",
         null,
         null,
         null,
         "0.9",
         "Neoplastic Process (T191)",
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         "17",
         "17"
        ],
        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         null,
         "2008.0",
         "ERCC2",
         "0.83",
         "0.43",
         "ERCC excision repair 2, TFIIH core complex helicase subunit",
         "6.4219e-28",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2008.0",
         "64",
         "363",
         "1",
         "187",
         "3",
         "0",
         "R-HSA-1430728,R-HSA-1643685,R-HSA-73894,R-HSA-74160,R-HSA-8953854",
         "Metabolism,Disease,DNA Repair,Gene expression (Transcription),Metabolism of RNA",
         "Enzyme",
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         "Neoplastic Process (T191)",
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         "P18074",
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         "8"
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        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         "2014.0",
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         "ring finger protein 43",
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         "363",
         "1",
         "88",
         "3",
         "0",
         "R-HSA-162582,R-HSA-1643685",
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         null,
         "XRCC1",
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         "0.43",
         "X-ray repair cross complementing 1",
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         "95",
         "363",
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         "10",
         "3",
         "0",
         "R-HSA-73894",
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         null,
         "ATM",
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         "ATM serine/threonine kinase",
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         "Neoplasm (02664),Abnormality of the digestive system (25031)",
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         "104",
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         "6562",
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         "0",
         "R-HSA-1474165,R-HSA-1640170,R-HSA-1643685,R-HSA-73894,R-HSA-74160,R-HSA-8953897,R-HSA-9612973",
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         "FGFR3",
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         "0.35",
         "fibroblast growth factor receptor 3",
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         "Neoplasm (02664),Abnormality of the digestive system (25031)",
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         "363",
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         "86",
         "3",
         "0",
         "R-HSA-162582,R-HSA-1643685",
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        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         null,
         null,
         "SEPTIN9",
         "0.79",
         "0.52",
         "septin 9",
         "0.99992",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
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         "11",
         "363",
         "0",
         "96",
         "3",
         "0",
         null,
         null,
         "Enzyme modulator",
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         "Neoplastic Process (T191)",
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         "Q9UHD8,A0A0S2Z5A5",
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         "1",
         "1"
        ],
        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         null,
         null,
         "BAX",
         "0.88",
         "0.37",
         "BCL2 associated X, apoptosis regulator",
         "4.4621e-07",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "31",
         "363",
         "0",
         "3",
         "3",
         "0",
         null,
         null,
         "Signaling",
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         "Neoplastic Process (T191)",
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         "Q07812,Q5ZPJ1,I6LPK7,Q5ZPJ0",
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         "protein-coding",
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        ],
        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         "Neoplasms,Digestive System Diseases",
         "1.0",
         null,
         null,
         "GPX1",
         "0.88",
         "0.42",
         "glutathione peroxidase 1",
         "0.0019011",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
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         "74",
         "363",
         "0",
         "0",
         "3",
         "0",
         "R-HSA-1430728,R-HSA-8953897",
         "Metabolism,Cellular responses to stimuli",
         "Enzyme",
         "0.9",
         "Neoplastic Process (T191)",
         "disease",
         "Q7L4Q3,P07203,A0A2R8Y6B6",
         "C0009404",
         "ENSG00000233276",
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         "protein-coding",
         "1",
         "3",
         "4"
        ],
        [
         "40",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9444444444444444",
         null,
         null,
         "MIR31",
         "0.88",
         "0.44",
         "microRNA 31",
         null,
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "9",
         "363",
         "0",
         "0",
         "3",
         "0",
         null,
         null,
         null,
         "0.9",
         "Neoplastic Process (T191)",
         "disease",
         null,
         "C0009404",
         "ENSG00000199177",
         "407035",
         "ncRNA",
         "1",
         "3",
         "3"
        ],
        [
         "41",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9",
         null,
         null,
         "NTRK3",
         "0.88",
         "0.45",
         "neurotrophic receptor tyrosine kinase 3",
         null,
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         null,
         "26",
         "363",
         "0",
         "16",
         "3",
         "0",
         "R-HSA-112316,R-HSA-162582,R-HSA-1643685",
         "Neuronal System,Signal Transduction,Disease",
         "Kinase",
         "0.9",
         "Neoplastic Process (T191)",
         "disease",
         "X5D7M5,Q96CY4,X5DNW6,O95193,Q16288,B7Z7U4,X5D2R1",
         "C0009404",
         "ENSG00000140538",
         "4916",
         "protein-coding",
         "1",
         "2",
         "1"
        ],
        [
         "42",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9239130434782608",
         null,
         "2012.0",
         "ABCB1",
         "0.92",
         "0.33",
         "ATP binding cassette subfamily B member 1",
         "1.7784e-05",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2013.0",
         "88",
         "363",
         "2",
         "16",
         "3",
         "0",
         "R-HSA-382551,R-HSA-9748784",
         "Transport of small molecules,Drug ADME",
         "Transporter",
         "0.85",
         "Neoplastic Process (T191)",
         "disease",
         "P08183,A4D1D2",
         "C0009404",
         "ENSG00000085563",
         "5243",
         "protein-coding",
         "2",
         "29",
         "35"
        ],
        [
         "43",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9285714285714286",
         null,
         "2008.0",
         "RET",
         "0.88",
         "0.37",
         "ret proto-oncogene",
         "1.0",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2011.0",
         "60",
         "363",
         "2",
         "1183",
         "3",
         "0",
         null,
         null,
         "Kinase",
         "0.85",
         "Neoplastic Process (T191)",
         "disease",
         "P07949",
         "C0009404",
         "ENSG00000165731",
         "5979",
         "protein-coding",
         "2",
         "1",
         "1"
        ],
        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.935483870967742",
         null,
         "2008.0",
         "GREM1",
         "0.83",
         "0.47",
         "gremlin 1, DAN family BMP antagonist",
         "0.2344",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2019.0",
         "7",
         "363",
         "2",
         "16",
         "3",
         "0",
         "R-HSA-1266738",
         "Developmental Biology",
         null,
         "0.85",
         "Neoplastic Process (T191)",
         "disease",
         "O60565,B3KTR9,A6XAA7",
         "C0009404",
         "ENSG00000166923",
         "26585",
         "protein-coding",
         "1",
         "2",
         "1"
        ],
        [
         "45",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9230769230769232",
         null,
         "2011.0",
         "ABCG2",
         "0.88",
         "0.4",
         "ATP binding cassette subfamily G member 2 (JR blood group)",
         "4.7824000000000005e-29",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2012.0",
         "28",
         "363",
         "2",
         "24",
         "3",
         "0",
         "R-HSA-1266738,R-HSA-1430728,R-HSA-382551,R-HSA-8953897,R-HSA-9748784",
         "Developmental Biology,Metabolism,Transport of small molecules,Cellular responses to stimuli,Drug ADME",
         "Transporter",
         "0.85",
         "Neoplastic Process (T191)",
         "disease",
         "Q9UNQ0",
         "C0009404",
         "ENSG00000118777",
         "9429",
         "protein-coding",
         "2",
         "23",
         "21"
        ],
        [
         "46",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.9452054794520548",
         null,
         "2005.0",
         "ESR2",
         "0.92",
         "0.38",
         "estrogen receptor 2",
         "5.8401e-10",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2005.0",
         "49",
         "363",
         "1",
         "15",
         "3",
         "0",
         null,
         null,
         "Nuclear receptor",
         "0.85",
         "Neoplastic Process (T191)",
         "disease",
         "F1D8N3,Q7LCB3,Q0PTK2,Q92731,A0A348FV93",
         "C0009404",
         "ENSG00000140009",
         "2100",
         "protein-coding",
         "0",
         "11",
         "21"
        ],
        [
         "47",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.8857142857142857",
         null,
         "2013.0",
         "POLD1",
         "0.88",
         "0.48",
         "DNA polymerase delta 1, catalytic subunit",
         "7.641500000000001e-19",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2013.0",
         "20",
         "363",
         "1",
         "1571",
         "3",
         "0",
         "R-HSA-1430728,R-HSA-1640170,R-HSA-69306,R-HSA-73894",
         "Metabolism,Cell Cycle,DNA Replication,DNA Repair",
         null,
         "0.85",
         "Neoplastic Process (T191)",
         "disease",
         "P28340,Q59FA0,Q308M6,A0A087WYJ2,M0R2B7",
         "C0009404",
         "ENSG00000062822",
         "5424",
         "protein-coding",
         "1",
         "1",
         "1"
        ],
        [
         "48",
         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
         "Colorectal Neoplasms",
         "Neoplasms,Digestive System Diseases",
         "0.8823529411764706",
         null,
         "2008.0",
         "BMP4",
         "0.88",
         "0.38",
         "bone morphogenetic protein 4",
         "0.99998",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2008.0",
         "32",
         "363",
         "1",
         "72",
         "3",
         "0",
         "R-HSA-1266738,R-HSA-1474165,R-HSA-1474244,R-HSA-392499",
         "Developmental Biology,Reproduction,Extracellular matrix organization,Metabolism of proteins",
         "Signaling",
         "0.85",
         "Neoplastic Process (T191)",
         "disease",
         "P12644,Q53XC5",
         "C0009404",
         "ENSG00000125378",
         "652",
         "protein-coding",
         "1",
         "2",
         "1"
        ],
        [
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         "disease of anatomical entity (7),disease of cellular proliferation (14566)",
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         "Neoplasms,Digestive System Diseases",
         "0.9710144927536232",
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         "2014.0",
         "LGR5",
         "0.71",
         "0.51",
         "leucine rich repeat containing G protein-coupled receptor 5",
         "0.00099711",
         "Neoplasm (02664),Abnormality of the digestive system (25031)",
         "2014.0",
         "4",
         "363",
         "1",
         "2",
         "3",
         "0",
         "R-HSA-162582",
         "Signal Transduction",
         "G-protein coupled receptor",
         "0.85",
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         "A0A0A8K8C7,O75473",
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>DOClass</th>\n",
       "      <th>Disease</th>\n",
       "      <th>DiseaseClass</th>\n",
       "      <th>EvidenceIndexGDA</th>\n",
       "      <th>EvidenceLevelGDA</th>\n",
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       "      <th>GeneDSI</th>\n",
       "      <th>GeneFullName</th>\n",
       "      <th>...</th>\n",
       "      <th>SemanticType</th>\n",
       "      <th>Type</th>\n",
       "      <th>UnitProt</th>\n",
       "      <th>diseaseUMLSCUI</th>\n",
       "      <th>geneEnsemblIDs</th>\n",
       "      <th>geneNcbiID</th>\n",
       "      <th>geneNcbiType</th>\n",
       "      <th>numCTs</th>\n",
       "      <th>numChemsIncludedInEvidences</th>\n",
       "      <th>numPMIDSWithChemsIncludedInEvidences</th>\n",
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       "      <th>0</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>0.927126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>TYMS</td>\n",
       "      <td>0.92</td>\n",
       "      <td>0.41</td>\n",
       "      <td>thymidylate synthetase</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>Q53Y97,P04818</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000176890</td>\n",
       "      <td>7298</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>3</td>\n",
       "      <td>32</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>0.923923</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>BRAF</td>\n",
       "      <td>0.92</td>\n",
       "      <td>0.29</td>\n",
       "      <td>B-Raf proto-oncogene, serine/threonine kinase</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>P15056</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000157764</td>\n",
       "      <td>673</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>80</td>\n",
       "      <td>87</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>0.897666</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>TP53</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.26</td>\n",
       "      <td>tumor protein p53</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>A0A087X1Q1,A0A087WT22,Q53GA5,P04637,H2EHT1,K7P...</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000141510</td>\n",
       "      <td>7157</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>7</td>\n",
       "      <td>41</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>0.929936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>APC</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.37</td>\n",
       "      <td>APC regulator of WNT signaling pathway</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>Q4LE70,P25054</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000134982</td>\n",
       "      <td>324</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>3</td>\n",
       "      <td>38</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>0.947368</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>DPYD</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.45</td>\n",
       "      <td>dihydropyrimidine dehydrogenase</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>Q12882</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000188641</td>\n",
       "      <td>1806</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>ABCB10</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.73</td>\n",
       "      <td>ATP binding cassette subfamily B member 10</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>Q9NRK6</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000135776</td>\n",
       "      <td>23456</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>CBX5</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.57</td>\n",
       "      <td>chromobox 5</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>P45973,V9HWG0</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000094916</td>\n",
       "      <td>23468</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>FADS1</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.53</td>\n",
       "      <td>fatty acid desaturase 1</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>O60427,A0A0A0MR51</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000149485</td>\n",
       "      <td>3992</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>ABCB6</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.60</td>\n",
       "      <td>ATP binding cassette subfamily B member 6 (LAN...</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>Q9NP58</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000115657</td>\n",
       "      <td>10058</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>disease of anatomical entity (7),disease of ce...</td>\n",
       "      <td>Colorectal Neoplasms</td>\n",
       "      <td>Neoplasms,Digestive System Diseases</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BCOR</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.43</td>\n",
       "      <td>BCL6 corepressor</td>\n",
       "      <td>...</td>\n",
       "      <td>Neoplastic Process (T191)</td>\n",
       "      <td>disease</td>\n",
       "      <td>Q6W2J9,H7C231,H7BZ37</td>\n",
       "      <td>C0009404</td>\n",
       "      <td>ENSG00000183337</td>\n",
       "      <td>54880</td>\n",
       "      <td>protein-coding</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>363 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               DOClass               Disease  \\\n",
       "0    disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "1    disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "2    disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "3    disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "4    disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "..                                                 ...                   ...   \n",
       "358  disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "359  disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "360  disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "361  disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "362  disease of anatomical entity (7),disease of ce...  Colorectal Neoplasms   \n",
       "\n",
       "                            DiseaseClass  EvidenceIndexGDA  EvidenceLevelGDA  \\\n",
       "0    Neoplasms,Digestive System Diseases          0.927126               NaN   \n",
       "1    Neoplasms,Digestive System Diseases          0.923923               NaN   \n",
       "2    Neoplasms,Digestive System Diseases          0.897666               NaN   \n",
       "3    Neoplasms,Digestive System Diseases          0.929936               NaN   \n",
       "4    Neoplasms,Digestive System Diseases          0.947368               NaN   \n",
       "..                                   ...               ...               ...   \n",
       "358  Neoplasms,Digestive System Diseases          1.000000               NaN   \n",
       "359  Neoplasms,Digestive System Diseases          1.000000               NaN   \n",
       "360  Neoplasms,Digestive System Diseases          1.000000               NaN   \n",
       "361  Neoplasms,Digestive System Diseases          1.000000               NaN   \n",
       "362  Neoplasms,Digestive System Diseases               NaN               NaN   \n",
       "\n",
       "     FirstRef    Gene  GeneDPI  GeneDSI  \\\n",
       "0      2004.0    TYMS     0.92     0.41   \n",
       "1      2008.0    BRAF     0.92     0.29   \n",
       "2      2003.0    TP53     0.88     0.26   \n",
       "3      2003.0     APC     0.88     0.37   \n",
       "4      2004.0    DPYD     0.88     0.45   \n",
       "..        ...     ...      ...      ...   \n",
       "358    2012.0  ABCB10     0.46     0.73   \n",
       "359    2015.0    CBX5     0.75     0.57   \n",
       "360    2014.0   FADS1     0.88     0.53   \n",
       "361    2012.0   ABCB6     0.71     0.60   \n",
       "362       NaN    BCOR     0.88     0.43   \n",
       "\n",
       "                                          GeneFullName  ...  \\\n",
       "0                               thymidylate synthetase  ...   \n",
       "1        B-Raf proto-oncogene, serine/threonine kinase  ...   \n",
       "2                                    tumor protein p53  ...   \n",
       "3               APC regulator of WNT signaling pathway  ...   \n",
       "4                      dihydropyrimidine dehydrogenase  ...   \n",
       "..                                                 ...  ...   \n",
       "358         ATP binding cassette subfamily B member 10  ...   \n",
       "359                                        chromobox 5  ...   \n",
       "360                            fatty acid desaturase 1  ...   \n",
       "361  ATP binding cassette subfamily B member 6 (LAN...  ...   \n",
       "362                                   BCL6 corepressor  ...   \n",
       "\n",
       "                  SemanticType     Type  \\\n",
       "0    Neoplastic Process (T191)  disease   \n",
       "1    Neoplastic Process (T191)  disease   \n",
       "2    Neoplastic Process (T191)  disease   \n",
       "3    Neoplastic Process (T191)  disease   \n",
       "4    Neoplastic Process (T191)  disease   \n",
       "..                         ...      ...   \n",
       "358  Neoplastic Process (T191)  disease   \n",
       "359  Neoplastic Process (T191)  disease   \n",
       "360  Neoplastic Process (T191)  disease   \n",
       "361  Neoplastic Process (T191)  disease   \n",
       "362  Neoplastic Process (T191)  disease   \n",
       "\n",
       "                                              UnitProt  diseaseUMLSCUI  \\\n",
       "0                                        Q53Y97,P04818        C0009404   \n",
       "1                                               P15056        C0009404   \n",
       "2    A0A087X1Q1,A0A087WT22,Q53GA5,P04637,H2EHT1,K7P...        C0009404   \n",
       "3                                        Q4LE70,P25054        C0009404   \n",
       "4                                               Q12882        C0009404   \n",
       "..                                                 ...             ...   \n",
       "358                                             Q9NRK6        C0009404   \n",
       "359                                      P45973,V9HWG0        C0009404   \n",
       "360                                  O60427,A0A0A0MR51        C0009404   \n",
       "361                                             Q9NP58        C0009404   \n",
       "362                               Q6W2J9,H7C231,H7BZ37        C0009404   \n",
       "\n",
       "      geneEnsemblIDs  geneNcbiID    geneNcbiType  numCTs  \\\n",
       "0    ENSG00000176890        7298  protein-coding       3   \n",
       "1    ENSG00000157764         673  protein-coding      80   \n",
       "2    ENSG00000141510        7157  protein-coding       7   \n",
       "3    ENSG00000134982         324  protein-coding       3   \n",
       "4    ENSG00000188641        1806  protein-coding       4   \n",
       "..               ...         ...             ...     ...   \n",
       "358  ENSG00000135776       23456  protein-coding       0   \n",
       "359  ENSG00000094916       23468  protein-coding       0   \n",
       "360  ENSG00000149485        3992  protein-coding       0   \n",
       "361  ENSG00000115657       10058  protein-coding       0   \n",
       "362  ENSG00000183337       54880  protein-coding       0   \n",
       "\n",
       "     numChemsIncludedInEvidences numPMIDSWithChemsIncludedInEvidences  \n",
       "0                             32                                  143  \n",
       "1                             87                                  162  \n",
       "2                             41                                   51  \n",
       "3                             38                                   36  \n",
       "4                             19                                   70  \n",
       "..                           ...                                  ...  \n",
       "358                            0                                    0  \n",
       "359                            0                                    0  \n",
       "360                            0                                    0  \n",
       "361                            0                                    0  \n",
       "362                            0                                    0  \n",
       "\n",
       "[363 rows x 33 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check with disgenet\n",
    "disgenet_colorectal = pd.read_csv(\"../data/external/DISEASES_Summary_GDA_CURATED_C0009404.tsv\", sep = '\\t')\n",
    "disgenet_colorectal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cancer gene census\n",
    "cgc = pd.read_csv('../data/external/Census_allFri Apr 25 20_35_35 2025.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "colon_cgc = cgc[cgc['Tumour Types(Somatic)'].fillna(\" \").str.lower().str.contains('colon|colorectal')]\n",
    "all_drivers = cgc['Gene Symbol'].unique()\n",
    "colon_drivers = colon_cgc['Gene Symbol'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/1956116208.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dragon_trans_same['is_driver'] = 1*(dragon_trans_same['TF'].isin(all_drivers))\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/1956116208.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dragon_trans_same['is_colon_driver'] = 1*(dragon_trans_same['TF'].isin(colon_drivers))\n"
     ]
    },
    {
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        [
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        [
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         "TCF7L2_expression",
         "0.0263205324693483",
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        [
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         "TP53_cnv",
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         "0.0057267124231703",
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       "shape": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>mean</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CUX1-CUX1</th>\n",
       "      <td>CUX1_cnv</td>\n",
       "      <td>CUX1_expression</td>\n",
       "      <td>0.004662</td>\n",
       "      <td>0.002525</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>2.281729e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
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       "      <td>CUX1</td>\n",
       "      <td>0.004662</td>\n",
       "      <td>0.002525</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>CUX1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIF1A-HIF1A</th>\n",
       "      <td>HIF1A_cnv</td>\n",
       "      <td>HIF1A_expression</td>\n",
       "      <td>0.007369</td>\n",
       "      <td>0.002971</td>\n",
       "      <td>0.005170</td>\n",
       "      <td>0.005170</td>\n",
       "      <td>9.669989e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>HIF1A</td>\n",
       "      <td>HIF1A</td>\n",
       "      <td>0.007369</td>\n",
       "      <td>0.002971</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>HIF1A</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IKZF3-IKZF3</th>\n",
       "      <td>IKZF3_cnv</td>\n",
       "      <td>IKZF3_expression</td>\n",
       "      <td>0.002140</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.001212</td>\n",
       "      <td>0.001212</td>\n",
       "      <td>1.721588e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>IKZF3</td>\n",
       "      <td>IKZF3</td>\n",
       "      <td>0.002140</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
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       "      <td>IKZF3</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAX-MAX</th>\n",
       "      <td>MAX_cnv</td>\n",
       "      <td>MAX_expression</td>\n",
       "      <td>0.006431</td>\n",
       "      <td>0.006677</td>\n",
       "      <td>0.006554</td>\n",
       "      <td>0.006554</td>\n",
       "      <td>3.023461e-08</td>\n",
       "      <td>cnv</td>\n",
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       "      <td>MAX</td>\n",
       "      <td>0.006431</td>\n",
       "      <td>0.006677</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>MAX</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRDM2-PRDM2</th>\n",
       "      <td>PRDM2_cnv</td>\n",
       "      <td>PRDM2_expression</td>\n",
       "      <td>0.013066</td>\n",
       "      <td>0.010044</td>\n",
       "      <td>0.011555</td>\n",
       "      <td>0.011555</td>\n",
       "      <td>4.568084e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>PRDM2</td>\n",
       "      <td>PRDM2</td>\n",
       "      <td>0.013066</td>\n",
       "      <td>0.010044</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>PRDM2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SALL4-SALL4</th>\n",
       "      <td>SALL4_cnv</td>\n",
       "      <td>SALL4_expression</td>\n",
       "      <td>0.000376</td>\n",
       "      <td>0.003958</td>\n",
       "      <td>0.002167</td>\n",
       "      <td>0.002167</td>\n",
       "      <td>6.415615e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SALL4</td>\n",
       "      <td>SALL4</td>\n",
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       "      <td>0.003958</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>SALL4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SMAD3-SMAD3</th>\n",
       "      <td>SMAD3_cnv</td>\n",
       "      <td>SMAD3_expression</td>\n",
       "      <td>0.011712</td>\n",
       "      <td>0.007802</td>\n",
       "      <td>0.009757</td>\n",
       "      <td>0.009757</td>\n",
       "      <td>7.642847e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SMAD3</td>\n",
       "      <td>SMAD3</td>\n",
       "      <td>0.011712</td>\n",
       "      <td>0.007802</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>SMAD3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SMAD4-SMAD4</th>\n",
       "      <td>SMAD4_cnv</td>\n",
       "      <td>SMAD4_expression</td>\n",
       "      <td>0.027467</td>\n",
       "      <td>0.031353</td>\n",
       "      <td>0.029410</td>\n",
       "      <td>0.029410</td>\n",
       "      <td>7.550685e-06</td>\n",
       "      <td>cnv</td>\n",
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       "      <td>SMAD4</td>\n",
       "      <td>SMAD4</td>\n",
       "      <td>0.027467</td>\n",
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       "      <td>cnv-expression</td>\n",
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       "      <td>SMAD4</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCF7L2-TCF7L2</th>\n",
       "      <td>TCF7L2_cnv</td>\n",
       "      <td>TCF7L2_expression</td>\n",
       "      <td>0.026321</td>\n",
       "      <td>0.009996</td>\n",
       "      <td>0.018159</td>\n",
       "      <td>0.018159</td>\n",
       "      <td>1.332371e-04</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>TCF7L2</td>\n",
       "      <td>TCF7L2</td>\n",
       "      <td>0.026321</td>\n",
       "      <td>0.009996</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>TCF7L2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TP53-TP53</th>\n",
       "      <td>TP53_cnv</td>\n",
       "      <td>TP53_expression</td>\n",
       "      <td>0.005727</td>\n",
       "      <td>0.005885</td>\n",
       "      <td>0.005806</td>\n",
       "      <td>0.005806</td>\n",
       "      <td>1.255498e-08</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>TP53</td>\n",
       "      <td>TP53</td>\n",
       "      <td>0.005727</td>\n",
       "      <td>0.005885</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    node1              node2      cms2      cms4      mean  \\\n",
       "edge                                                                         \n",
       "CUX1-CUX1        CUX1_cnv    CUX1_expression  0.004662  0.002525  0.003593   \n",
       "HIF1A-HIF1A     HIF1A_cnv   HIF1A_expression  0.007369  0.002971  0.005170   \n",
       "IKZF3-IKZF3     IKZF3_cnv   IKZF3_expression  0.002140  0.000285  0.001212   \n",
       "MAX-MAX           MAX_cnv     MAX_expression  0.006431  0.006677  0.006554   \n",
       "PRDM2-PRDM2     PRDM2_cnv   PRDM2_expression  0.013066  0.010044  0.011555   \n",
       "SALL4-SALL4     SALL4_cnv   SALL4_expression  0.000376  0.003958  0.002167   \n",
       "SMAD3-SMAD3     SMAD3_cnv   SMAD3_expression  0.011712  0.007802  0.009757   \n",
       "SMAD4-SMAD4     SMAD4_cnv   SMAD4_expression  0.027467  0.031353  0.029410   \n",
       "TCF7L2-TCF7L2  TCF7L2_cnv  TCF7L2_expression  0.026321  0.009996  0.018159   \n",
       "TP53-TP53        TP53_cnv    TP53_expression  0.005727  0.005885  0.005806   \n",
       "\n",
       "               abs_mean           var node1_type  node2_type node1_tf  \\\n",
       "edge                                                                    \n",
       "CUX1-CUX1      0.003593  2.281729e-06        cnv  expression     CUX1   \n",
       "HIF1A-HIF1A    0.005170  9.669989e-06        cnv  expression    HIF1A   \n",
       "IKZF3-IKZF3    0.001212  1.721588e-06        cnv  expression    IKZF3   \n",
       "MAX-MAX        0.006554  3.023461e-08        cnv  expression      MAX   \n",
       "PRDM2-PRDM2    0.011555  4.568084e-06        cnv  expression    PRDM2   \n",
       "SALL4-SALL4    0.002167  6.415615e-06        cnv  expression    SALL4   \n",
       "SMAD3-SMAD3    0.009757  7.642847e-06        cnv  expression    SMAD3   \n",
       "SMAD4-SMAD4    0.029410  7.550685e-06        cnv  expression    SMAD4   \n",
       "TCF7L2-TCF7L2  0.018159  1.332371e-04        cnv  expression   TCF7L2   \n",
       "TP53-TP53      0.005806  1.255498e-08        cnv  expression     TP53   \n",
       "\n",
       "              node2_tf  cms2_abs  cms4_abs  same       edge_type  same TF  \\\n",
       "edge                                                                        \n",
       "CUX1-CUX1         CUX1  0.004662  0.002525     1  cnv-expression     True   \n",
       "HIF1A-HIF1A      HIF1A  0.007369  0.002971     1  cnv-expression     True   \n",
       "IKZF3-IKZF3      IKZF3  0.002140  0.000285     1  cnv-expression     True   \n",
       "MAX-MAX            MAX  0.006431  0.006677     1  cnv-expression     True   \n",
       "PRDM2-PRDM2      PRDM2  0.013066  0.010044     1  cnv-expression     True   \n",
       "SALL4-SALL4      SALL4  0.000376  0.003958     1  cnv-expression     True   \n",
       "SMAD3-SMAD3      SMAD3  0.011712  0.007802     1  cnv-expression     True   \n",
       "SMAD4-SMAD4      SMAD4  0.027467  0.031353     1  cnv-expression     True   \n",
       "TCF7L2-TCF7L2   TCF7L2  0.026321  0.009996     1  cnv-expression     True   \n",
       "TP53-TP53         TP53  0.005727  0.005885     1  cnv-expression     True   \n",
       "\n",
       "                   TF  is_disgenet  is_driver  is_colon_driver  \n",
       "edge                                                            \n",
       "CUX1-CUX1        CUX1            0          1                1  \n",
       "HIF1A-HIF1A     HIF1A            0          1                1  \n",
       "IKZF3-IKZF3     IKZF3            0          1                1  \n",
       "MAX-MAX           MAX            0          1                1  \n",
       "PRDM2-PRDM2     PRDM2            0          1                1  \n",
       "SALL4-SALL4     SALL4            0          1                1  \n",
       "SMAD3-SMAD3     SMAD3            1          1                1  \n",
       "SMAD4-SMAD4     SMAD4            1          1                1  \n",
       "TCF7L2-TCF7L2  TCF7L2            1          1                1  \n",
       "TP53-TP53        TP53            1          1                1  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dragon_trans_same['is_driver'] = 1*(dragon_trans_same['TF'].isin(all_drivers))\n",
    "dragon_trans_same['is_colon_driver'] = 1*(dragon_trans_same['TF'].isin(colon_drivers))\n",
    "\n",
    "dragon_trans_same[dragon_trans_same['is_colon_driver']==1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/12046293.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dragon_trans_same['TF'] = dragon_trans_same['node1_tf']\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/12046293.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dragon_trans_same['is_disgenet'] = 1*(dragon_trans_same['TF'].isin(disgenet_colorectal['Gene']))\n"
     ]
    },
    {
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         "0.0002389960289877",
         "0.0042678659753182",
         "0.0022534310021529503",
         "0.0022534310021529503",
         "8.115896522222565e-06",
         "cnv",
         "expression",
         "ZNF569",
         "ZNF569",
         "0.0002389960289877",
         "0.0042678659753182",
         "1",
         "cnv-expression",
         "True",
         "ZNF569",
         "1"
        ]
       ],
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        "columns": 18,
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>mean</th>\n",
       "      <th>abs_mean</th>\n",
       "      <th>var</th>\n",
       "      <th>node1_type</th>\n",
       "      <th>node2_type</th>\n",
       "      <th>node1_tf</th>\n",
       "      <th>node2_tf</th>\n",
       "      <th>cms2_abs</th>\n",
       "      <th>cms4_abs</th>\n",
       "      <th>same</th>\n",
       "      <th>edge_type</th>\n",
       "      <th>same TF</th>\n",
       "      <th>TF</th>\n",
       "      <th>is_disgenet</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edge</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ARID2-ARID2</th>\n",
       "      <td>ARID2_cnv</td>\n",
       "      <td>ARID2_expression</td>\n",
       "      <td>0.005396</td>\n",
       "      <td>0.001295</td>\n",
       "      <td>0.003346</td>\n",
       "      <td>0.003346</td>\n",
       "      <td>8.407846e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ARID2</td>\n",
       "      <td>ARID2</td>\n",
       "      <td>0.005396</td>\n",
       "      <td>0.001295</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ARID2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARNT-ARNT</th>\n",
       "      <td>ARNT_cnv</td>\n",
       "      <td>ARNT_expression</td>\n",
       "      <td>0.006586</td>\n",
       "      <td>0.005204</td>\n",
       "      <td>0.005895</td>\n",
       "      <td>0.005895</td>\n",
       "      <td>9.551406e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ARNT</td>\n",
       "      <td>ARNT</td>\n",
       "      <td>0.006586</td>\n",
       "      <td>0.005204</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ARNT</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOT1L-DOT1L</th>\n",
       "      <td>DOT1L_cnv</td>\n",
       "      <td>DOT1L_expression</td>\n",
       "      <td>0.004674</td>\n",
       "      <td>0.002951</td>\n",
       "      <td>0.003813</td>\n",
       "      <td>0.003813</td>\n",
       "      <td>1.485338e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>DOT1L</td>\n",
       "      <td>DOT1L</td>\n",
       "      <td>0.004674</td>\n",
       "      <td>0.002951</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>DOT1L</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ETV1-ETV1</th>\n",
       "      <td>ETV1_cnv</td>\n",
       "      <td>ETV1_expression</td>\n",
       "      <td>0.003220</td>\n",
       "      <td>0.002523</td>\n",
       "      <td>0.002872</td>\n",
       "      <td>0.002872</td>\n",
       "      <td>2.426494e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ETV1</td>\n",
       "      <td>ETV1</td>\n",
       "      <td>0.003220</td>\n",
       "      <td>0.002523</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ETV1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FOXP3-FOXP3</th>\n",
       "      <td>FOXP3_cnv</td>\n",
       "      <td>FOXP3_expression</td>\n",
       "      <td>0.001559</td>\n",
       "      <td>0.001047</td>\n",
       "      <td>0.001303</td>\n",
       "      <td>0.001303</td>\n",
       "      <td>1.307441e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>FOXP3</td>\n",
       "      <td>FOXP3</td>\n",
       "      <td>0.001559</td>\n",
       "      <td>0.001047</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>FOXP3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GATA4-GATA4</th>\n",
       "      <td>GATA4_cnv</td>\n",
       "      <td>GATA4_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002518</td>\n",
       "      <td>0.002518</td>\n",
       "      <td>0.002518</td>\n",
       "      <td>NaN</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>GATA4</td>\n",
       "      <td>GATA4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002518</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>GATA4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HNF1A-HNF1A</th>\n",
       "      <td>HNF1A_cnv</td>\n",
       "      <td>HNF1A_expression</td>\n",
       "      <td>0.003357</td>\n",
       "      <td>0.001651</td>\n",
       "      <td>0.002504</td>\n",
       "      <td>0.002504</td>\n",
       "      <td>1.455423e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>HNF1A</td>\n",
       "      <td>HNF1A</td>\n",
       "      <td>0.003357</td>\n",
       "      <td>0.001651</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>HNF1A</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOXD1-HOXD1</th>\n",
       "      <td>HOXD1_cnv</td>\n",
       "      <td>HOXD1_expression</td>\n",
       "      <td>0.003643</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.001825</td>\n",
       "      <td>0.001825</td>\n",
       "      <td>6.614445e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>HOXD1</td>\n",
       "      <td>HOXD1</td>\n",
       "      <td>0.003643</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>HOXD1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOXD9-HOXD9</th>\n",
       "      <td>HOXD9_cnv</td>\n",
       "      <td>HOXD9_expression</td>\n",
       "      <td>0.000282</td>\n",
       "      <td>0.001100</td>\n",
       "      <td>0.000691</td>\n",
       "      <td>0.000691</td>\n",
       "      <td>3.349288e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>HOXD9</td>\n",
       "      <td>HOXD9</td>\n",
       "      <td>0.000282</td>\n",
       "      <td>0.001100</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>HOXD9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IKZF1-IKZF1</th>\n",
       "      <td>IKZF1_cnv</td>\n",
       "      <td>IKZF1_expression</td>\n",
       "      <td>-0.000426</td>\n",
       "      <td>-0.001321</td>\n",
       "      <td>-0.000873</td>\n",
       "      <td>0.000873</td>\n",
       "      <td>4.003656e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>IKZF1</td>\n",
       "      <td>IKZF1</td>\n",
       "      <td>0.000426</td>\n",
       "      <td>0.001321</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>IKZF1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KDM2A-KDM2A</th>\n",
       "      <td>KDM2A_cnv</td>\n",
       "      <td>KDM2A_expression</td>\n",
       "      <td>0.008050</td>\n",
       "      <td>0.004733</td>\n",
       "      <td>0.006392</td>\n",
       "      <td>0.006392</td>\n",
       "      <td>5.500436e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>KDM2A</td>\n",
       "      <td>KDM2A</td>\n",
       "      <td>0.008050</td>\n",
       "      <td>0.004733</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>KDM2A</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KLF2-KLF2</th>\n",
       "      <td>KLF2_cnv</td>\n",
       "      <td>KLF2_expression</td>\n",
       "      <td>-0.001022</td>\n",
       "      <td>-0.001236</td>\n",
       "      <td>-0.001129</td>\n",
       "      <td>0.001129</td>\n",
       "      <td>2.272117e-08</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>KLF2</td>\n",
       "      <td>KLF2</td>\n",
       "      <td>0.001022</td>\n",
       "      <td>0.001236</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>KLF2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KLF5-KLF5</th>\n",
       "      <td>KLF5_cnv</td>\n",
       "      <td>KLF5_expression</td>\n",
       "      <td>0.016355</td>\n",
       "      <td>0.008131</td>\n",
       "      <td>0.012243</td>\n",
       "      <td>0.012243</td>\n",
       "      <td>3.381497e-05</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>KLF5</td>\n",
       "      <td>KLF5</td>\n",
       "      <td>0.016355</td>\n",
       "      <td>0.008131</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>KLF5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAF-MAF</th>\n",
       "      <td>MAF_cnv</td>\n",
       "      <td>MAF_expression</td>\n",
       "      <td>-0.000197</td>\n",
       "      <td>0.000228</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>9.034756e-08</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>MAF</td>\n",
       "      <td>MAF</td>\n",
       "      <td>0.000197</td>\n",
       "      <td>0.000228</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>MAF</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MYC-MYC</th>\n",
       "      <td>MYC_cnv</td>\n",
       "      <td>MYC_expression</td>\n",
       "      <td>0.004270</td>\n",
       "      <td>0.002538</td>\n",
       "      <td>0.003404</td>\n",
       "      <td>0.003404</td>\n",
       "      <td>1.501112e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>MYC</td>\n",
       "      <td>MYC</td>\n",
       "      <td>0.004270</td>\n",
       "      <td>0.002538</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>MYC</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NME2-NME2</th>\n",
       "      <td>NME2_cnv</td>\n",
       "      <td>NME2_expression</td>\n",
       "      <td>0.011614</td>\n",
       "      <td>0.004451</td>\n",
       "      <td>0.008032</td>\n",
       "      <td>0.008032</td>\n",
       "      <td>2.565120e-05</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>NME2</td>\n",
       "      <td>NME2</td>\n",
       "      <td>0.011614</td>\n",
       "      <td>0.004451</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>NME2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NR4A2-NR4A2</th>\n",
       "      <td>NR4A2_cnv</td>\n",
       "      <td>NR4A2_expression</td>\n",
       "      <td>0.002977</td>\n",
       "      <td>-0.000682</td>\n",
       "      <td>0.001148</td>\n",
       "      <td>0.001830</td>\n",
       "      <td>6.696397e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>NR4A2</td>\n",
       "      <td>NR4A2</td>\n",
       "      <td>0.002977</td>\n",
       "      <td>0.000682</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>NR4A2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PAX8-PAX8</th>\n",
       "      <td>PAX8_cnv</td>\n",
       "      <td>PAX8_expression</td>\n",
       "      <td>0.006171</td>\n",
       "      <td>0.003615</td>\n",
       "      <td>0.004893</td>\n",
       "      <td>0.004893</td>\n",
       "      <td>3.268830e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>PAX8</td>\n",
       "      <td>PAX8</td>\n",
       "      <td>0.006171</td>\n",
       "      <td>0.003615</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>PAX8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PPARG-PPARG</th>\n",
       "      <td>PPARG_cnv</td>\n",
       "      <td>PPARG_expression</td>\n",
       "      <td>0.011139</td>\n",
       "      <td>0.003271</td>\n",
       "      <td>0.007205</td>\n",
       "      <td>0.007205</td>\n",
       "      <td>3.095589e-05</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>PPARG</td>\n",
       "      <td>PPARG</td>\n",
       "      <td>0.011139</td>\n",
       "      <td>0.003271</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>PPARG</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SATB2-SATB2</th>\n",
       "      <td>SATB2_cnv</td>\n",
       "      <td>SATB2_expression</td>\n",
       "      <td>0.001427</td>\n",
       "      <td>0.004400</td>\n",
       "      <td>0.002913</td>\n",
       "      <td>0.002913</td>\n",
       "      <td>4.420516e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SATB2</td>\n",
       "      <td>SATB2</td>\n",
       "      <td>0.001427</td>\n",
       "      <td>0.004400</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>SATB2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SMAD3-SMAD3</th>\n",
       "      <td>SMAD3_cnv</td>\n",
       "      <td>SMAD3_expression</td>\n",
       "      <td>0.011712</td>\n",
       "      <td>0.007802</td>\n",
       "      <td>0.009757</td>\n",
       "      <td>0.009757</td>\n",
       "      <td>7.642847e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SMAD3</td>\n",
       "      <td>SMAD3</td>\n",
       "      <td>0.011712</td>\n",
       "      <td>0.007802</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>SMAD3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SMAD4-SMAD4</th>\n",
       "      <td>SMAD4_cnv</td>\n",
       "      <td>SMAD4_expression</td>\n",
       "      <td>0.027467</td>\n",
       "      <td>0.031353</td>\n",
       "      <td>0.029410</td>\n",
       "      <td>0.029410</td>\n",
       "      <td>7.550685e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SMAD4</td>\n",
       "      <td>SMAD4</td>\n",
       "      <td>0.027467</td>\n",
       "      <td>0.031353</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>SMAD4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SMAD9-SMAD9</th>\n",
       "      <td>SMAD9_cnv</td>\n",
       "      <td>SMAD9_expression</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.003851</td>\n",
       "      <td>0.002106</td>\n",
       "      <td>0.002106</td>\n",
       "      <td>6.090853e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SMAD9</td>\n",
       "      <td>SMAD9</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.003851</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>SMAD9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOX17-SOX17</th>\n",
       "      <td>SOX17_cnv</td>\n",
       "      <td>SOX17_expression</td>\n",
       "      <td>0.003934</td>\n",
       "      <td>-0.002315</td>\n",
       "      <td>0.000809</td>\n",
       "      <td>0.003125</td>\n",
       "      <td>1.952811e-05</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SOX17</td>\n",
       "      <td>SOX17</td>\n",
       "      <td>0.003934</td>\n",
       "      <td>0.002315</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>SOX17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP1-SP1</th>\n",
       "      <td>SP1_cnv</td>\n",
       "      <td>SP1_expression</td>\n",
       "      <td>0.002045</td>\n",
       "      <td>0.001546</td>\n",
       "      <td>0.001795</td>\n",
       "      <td>0.001795</td>\n",
       "      <td>1.246229e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SP1</td>\n",
       "      <td>SP1</td>\n",
       "      <td>0.002045</td>\n",
       "      <td>0.001546</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>SP1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCF3-TCF3</th>\n",
       "      <td>TCF3_cnv</td>\n",
       "      <td>TCF3_expression</td>\n",
       "      <td>0.004611</td>\n",
       "      <td>0.008240</td>\n",
       "      <td>0.006426</td>\n",
       "      <td>0.006426</td>\n",
       "      <td>6.585775e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>TCF3</td>\n",
       "      <td>TCF3</td>\n",
       "      <td>0.004611</td>\n",
       "      <td>0.008240</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>TCF3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCF7L2-TCF7L2</th>\n",
       "      <td>TCF7L2_cnv</td>\n",
       "      <td>TCF7L2_expression</td>\n",
       "      <td>0.026321</td>\n",
       "      <td>0.009996</td>\n",
       "      <td>0.018159</td>\n",
       "      <td>0.018159</td>\n",
       "      <td>1.332371e-04</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>TCF7L2</td>\n",
       "      <td>TCF7L2</td>\n",
       "      <td>0.026321</td>\n",
       "      <td>0.009996</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>TCF7L2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TET2-TET2</th>\n",
       "      <td>TET2_cnv</td>\n",
       "      <td>TET2_expression</td>\n",
       "      <td>0.009327</td>\n",
       "      <td>0.005646</td>\n",
       "      <td>0.007486</td>\n",
       "      <td>0.007486</td>\n",
       "      <td>6.774648e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>TET2</td>\n",
       "      <td>TET2</td>\n",
       "      <td>0.009327</td>\n",
       "      <td>0.005646</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>TET2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TP53-TP53</th>\n",
       "      <td>TP53_cnv</td>\n",
       "      <td>TP53_expression</td>\n",
       "      <td>0.005727</td>\n",
       "      <td>0.005885</td>\n",
       "      <td>0.005806</td>\n",
       "      <td>0.005806</td>\n",
       "      <td>1.255498e-08</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>TP53</td>\n",
       "      <td>TP53</td>\n",
       "      <td>0.005727</td>\n",
       "      <td>0.005885</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TP73-TP73</th>\n",
       "      <td>TP73_cnv</td>\n",
       "      <td>TP73_expression</td>\n",
       "      <td>0.014167</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.007110</td>\n",
       "      <td>0.007110</td>\n",
       "      <td>9.959995e-05</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>TP73</td>\n",
       "      <td>TP73</td>\n",
       "      <td>0.014167</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>TP73</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZKSCAN3-ZKSCAN3</th>\n",
       "      <td>ZKSCAN3_cnv</td>\n",
       "      <td>ZKSCAN3_expression</td>\n",
       "      <td>0.005493</td>\n",
       "      <td>0.001547</td>\n",
       "      <td>0.003520</td>\n",
       "      <td>0.003520</td>\n",
       "      <td>7.786695e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZKSCAN3</td>\n",
       "      <td>ZKSCAN3</td>\n",
       "      <td>0.005493</td>\n",
       "      <td>0.001547</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZKSCAN3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF292-ZNF292</th>\n",
       "      <td>ZNF292_cnv</td>\n",
       "      <td>ZNF292_expression</td>\n",
       "      <td>0.006789</td>\n",
       "      <td>0.005738</td>\n",
       "      <td>0.006263</td>\n",
       "      <td>0.006263</td>\n",
       "      <td>5.517455e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF292</td>\n",
       "      <td>ZNF292</td>\n",
       "      <td>0.006789</td>\n",
       "      <td>0.005738</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF292</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF367-ZNF367</th>\n",
       "      <td>ZNF367_cnv</td>\n",
       "      <td>ZNF367_expression</td>\n",
       "      <td>0.001784</td>\n",
       "      <td>0.003364</td>\n",
       "      <td>0.002574</td>\n",
       "      <td>0.002574</td>\n",
       "      <td>1.248297e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF367</td>\n",
       "      <td>ZNF367</td>\n",
       "      <td>0.001784</td>\n",
       "      <td>0.003364</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF367</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF569-ZNF569</th>\n",
       "      <td>ZNF569_cnv</td>\n",
       "      <td>ZNF569_expression</td>\n",
       "      <td>0.000239</td>\n",
       "      <td>0.004268</td>\n",
       "      <td>0.002253</td>\n",
       "      <td>0.002253</td>\n",
       "      <td>8.115897e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF569</td>\n",
       "      <td>ZNF569</td>\n",
       "      <td>0.000239</td>\n",
       "      <td>0.004268</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF569</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       node1               node2      cms2      cms4  \\\n",
       "edge                                                                   \n",
       "ARID2-ARID2        ARID2_cnv    ARID2_expression  0.005396  0.001295   \n",
       "ARNT-ARNT           ARNT_cnv     ARNT_expression  0.006586  0.005204   \n",
       "DOT1L-DOT1L        DOT1L_cnv    DOT1L_expression  0.004674  0.002951   \n",
       "ETV1-ETV1           ETV1_cnv     ETV1_expression  0.003220  0.002523   \n",
       "FOXP3-FOXP3        FOXP3_cnv    FOXP3_expression  0.001559  0.001047   \n",
       "GATA4-GATA4        GATA4_cnv    GATA4_expression       NaN  0.002518   \n",
       "HNF1A-HNF1A        HNF1A_cnv    HNF1A_expression  0.003357  0.001651   \n",
       "HOXD1-HOXD1        HOXD1_cnv    HOXD1_expression  0.003643  0.000006   \n",
       "HOXD9-HOXD9        HOXD9_cnv    HOXD9_expression  0.000282  0.001100   \n",
       "IKZF1-IKZF1        IKZF1_cnv    IKZF1_expression -0.000426 -0.001321   \n",
       "KDM2A-KDM2A        KDM2A_cnv    KDM2A_expression  0.008050  0.004733   \n",
       "KLF2-KLF2           KLF2_cnv     KLF2_expression -0.001022 -0.001236   \n",
       "KLF5-KLF5           KLF5_cnv     KLF5_expression  0.016355  0.008131   \n",
       "MAF-MAF              MAF_cnv      MAF_expression -0.000197  0.000228   \n",
       "MYC-MYC              MYC_cnv      MYC_expression  0.004270  0.002538   \n",
       "NME2-NME2           NME2_cnv     NME2_expression  0.011614  0.004451   \n",
       "NR4A2-NR4A2        NR4A2_cnv    NR4A2_expression  0.002977 -0.000682   \n",
       "PAX8-PAX8           PAX8_cnv     PAX8_expression  0.006171  0.003615   \n",
       "PPARG-PPARG        PPARG_cnv    PPARG_expression  0.011139  0.003271   \n",
       "SATB2-SATB2        SATB2_cnv    SATB2_expression  0.001427  0.004400   \n",
       "SMAD3-SMAD3        SMAD3_cnv    SMAD3_expression  0.011712  0.007802   \n",
       "SMAD4-SMAD4        SMAD4_cnv    SMAD4_expression  0.027467  0.031353   \n",
       "SMAD9-SMAD9        SMAD9_cnv    SMAD9_expression  0.000361  0.003851   \n",
       "SOX17-SOX17        SOX17_cnv    SOX17_expression  0.003934 -0.002315   \n",
       "SP1-SP1              SP1_cnv      SP1_expression  0.002045  0.001546   \n",
       "TCF3-TCF3           TCF3_cnv     TCF3_expression  0.004611  0.008240   \n",
       "TCF7L2-TCF7L2     TCF7L2_cnv   TCF7L2_expression  0.026321  0.009996   \n",
       "TET2-TET2           TET2_cnv     TET2_expression  0.009327  0.005646   \n",
       "TP53-TP53           TP53_cnv     TP53_expression  0.005727  0.005885   \n",
       "TP73-TP73           TP73_cnv     TP73_expression  0.014167  0.000054   \n",
       "ZKSCAN3-ZKSCAN3  ZKSCAN3_cnv  ZKSCAN3_expression  0.005493  0.001547   \n",
       "ZNF292-ZNF292     ZNF292_cnv   ZNF292_expression  0.006789  0.005738   \n",
       "ZNF367-ZNF367     ZNF367_cnv   ZNF367_expression  0.001784  0.003364   \n",
       "ZNF569-ZNF569     ZNF569_cnv   ZNF569_expression  0.000239  0.004268   \n",
       "\n",
       "                     mean  abs_mean           var node1_type  node2_type  \\\n",
       "edge                                                                       \n",
       "ARID2-ARID2      0.003346  0.003346  8.407846e-06        cnv  expression   \n",
       "ARNT-ARNT        0.005895  0.005895  9.551406e-07        cnv  expression   \n",
       "DOT1L-DOT1L      0.003813  0.003813  1.485338e-06        cnv  expression   \n",
       "ETV1-ETV1        0.002872  0.002872  2.426494e-07        cnv  expression   \n",
       "FOXP3-FOXP3      0.001303  0.001303  1.307441e-07        cnv  expression   \n",
       "GATA4-GATA4      0.002518  0.002518           NaN        cnv  expression   \n",
       "HNF1A-HNF1A      0.002504  0.002504  1.455423e-06        cnv  expression   \n",
       "HOXD1-HOXD1      0.001825  0.001825  6.614445e-06        cnv  expression   \n",
       "HOXD9-HOXD9      0.000691  0.000691  3.349288e-07        cnv  expression   \n",
       "IKZF1-IKZF1     -0.000873  0.000873  4.003656e-07        cnv  expression   \n",
       "KDM2A-KDM2A      0.006392  0.006392  5.500436e-06        cnv  expression   \n",
       "KLF2-KLF2       -0.001129  0.001129  2.272117e-08        cnv  expression   \n",
       "KLF5-KLF5        0.012243  0.012243  3.381497e-05        cnv  expression   \n",
       "MAF-MAF          0.000015  0.000213  9.034756e-08        cnv  expression   \n",
       "MYC-MYC          0.003404  0.003404  1.501112e-06        cnv  expression   \n",
       "NME2-NME2        0.008032  0.008032  2.565120e-05        cnv  expression   \n",
       "NR4A2-NR4A2      0.001148  0.001830  6.696397e-06        cnv  expression   \n",
       "PAX8-PAX8        0.004893  0.004893  3.268830e-06        cnv  expression   \n",
       "PPARG-PPARG      0.007205  0.007205  3.095589e-05        cnv  expression   \n",
       "SATB2-SATB2      0.002913  0.002913  4.420516e-06        cnv  expression   \n",
       "SMAD3-SMAD3      0.009757  0.009757  7.642847e-06        cnv  expression   \n",
       "SMAD4-SMAD4      0.029410  0.029410  7.550685e-06        cnv  expression   \n",
       "SMAD9-SMAD9      0.002106  0.002106  6.090853e-06        cnv  expression   \n",
       "SOX17-SOX17      0.000809  0.003125  1.952811e-05        cnv  expression   \n",
       "SP1-SP1          0.001795  0.001795  1.246229e-07        cnv  expression   \n",
       "TCF3-TCF3        0.006426  0.006426  6.585775e-06        cnv  expression   \n",
       "TCF7L2-TCF7L2    0.018159  0.018159  1.332371e-04        cnv  expression   \n",
       "TET2-TET2        0.007486  0.007486  6.774648e-06        cnv  expression   \n",
       "TP53-TP53        0.005806  0.005806  1.255498e-08        cnv  expression   \n",
       "TP73-TP73        0.007110  0.007110  9.959995e-05        cnv  expression   \n",
       "ZKSCAN3-ZKSCAN3  0.003520  0.003520  7.786695e-06        cnv  expression   \n",
       "ZNF292-ZNF292    0.006263  0.006263  5.517455e-07        cnv  expression   \n",
       "ZNF367-ZNF367    0.002574  0.002574  1.248297e-06        cnv  expression   \n",
       "ZNF569-ZNF569    0.002253  0.002253  8.115897e-06        cnv  expression   \n",
       "\n",
       "                node1_tf node2_tf  cms2_abs  cms4_abs  same       edge_type  \\\n",
       "edge                                                                          \n",
       "ARID2-ARID2        ARID2    ARID2  0.005396  0.001295     1  cnv-expression   \n",
       "ARNT-ARNT           ARNT     ARNT  0.006586  0.005204     1  cnv-expression   \n",
       "DOT1L-DOT1L        DOT1L    DOT1L  0.004674  0.002951     1  cnv-expression   \n",
       "ETV1-ETV1           ETV1     ETV1  0.003220  0.002523     1  cnv-expression   \n",
       "FOXP3-FOXP3        FOXP3    FOXP3  0.001559  0.001047     1  cnv-expression   \n",
       "GATA4-GATA4        GATA4    GATA4       NaN  0.002518     1  cnv-expression   \n",
       "HNF1A-HNF1A        HNF1A    HNF1A  0.003357  0.001651     1  cnv-expression   \n",
       "HOXD1-HOXD1        HOXD1    HOXD1  0.003643  0.000006     1  cnv-expression   \n",
       "HOXD9-HOXD9        HOXD9    HOXD9  0.000282  0.001100     1  cnv-expression   \n",
       "IKZF1-IKZF1        IKZF1    IKZF1  0.000426  0.001321     1  cnv-expression   \n",
       "KDM2A-KDM2A        KDM2A    KDM2A  0.008050  0.004733     1  cnv-expression   \n",
       "KLF2-KLF2           KLF2     KLF2  0.001022  0.001236     1  cnv-expression   \n",
       "KLF5-KLF5           KLF5     KLF5  0.016355  0.008131     1  cnv-expression   \n",
       "MAF-MAF              MAF      MAF  0.000197  0.000228     1  cnv-expression   \n",
       "MYC-MYC              MYC      MYC  0.004270  0.002538     1  cnv-expression   \n",
       "NME2-NME2           NME2     NME2  0.011614  0.004451     1  cnv-expression   \n",
       "NR4A2-NR4A2        NR4A2    NR4A2  0.002977  0.000682     1  cnv-expression   \n",
       "PAX8-PAX8           PAX8     PAX8  0.006171  0.003615     1  cnv-expression   \n",
       "PPARG-PPARG        PPARG    PPARG  0.011139  0.003271     1  cnv-expression   \n",
       "SATB2-SATB2        SATB2    SATB2  0.001427  0.004400     1  cnv-expression   \n",
       "SMAD3-SMAD3        SMAD3    SMAD3  0.011712  0.007802     1  cnv-expression   \n",
       "SMAD4-SMAD4        SMAD4    SMAD4  0.027467  0.031353     1  cnv-expression   \n",
       "SMAD9-SMAD9        SMAD9    SMAD9  0.000361  0.003851     1  cnv-expression   \n",
       "SOX17-SOX17        SOX17    SOX17  0.003934  0.002315     1  cnv-expression   \n",
       "SP1-SP1              SP1      SP1  0.002045  0.001546     1  cnv-expression   \n",
       "TCF3-TCF3           TCF3     TCF3  0.004611  0.008240     1  cnv-expression   \n",
       "TCF7L2-TCF7L2     TCF7L2   TCF7L2  0.026321  0.009996     1  cnv-expression   \n",
       "TET2-TET2           TET2     TET2  0.009327  0.005646     1  cnv-expression   \n",
       "TP53-TP53           TP53     TP53  0.005727  0.005885     1  cnv-expression   \n",
       "TP73-TP73           TP73     TP73  0.014167  0.000054     1  cnv-expression   \n",
       "ZKSCAN3-ZKSCAN3  ZKSCAN3  ZKSCAN3  0.005493  0.001547     1  cnv-expression   \n",
       "ZNF292-ZNF292     ZNF292   ZNF292  0.006789  0.005738     1  cnv-expression   \n",
       "ZNF367-ZNF367     ZNF367   ZNF367  0.001784  0.003364     1  cnv-expression   \n",
       "ZNF569-ZNF569     ZNF569   ZNF569  0.000239  0.004268     1  cnv-expression   \n",
       "\n",
       "                 same TF       TF  is_disgenet  \n",
       "edge                                            \n",
       "ARID2-ARID2         True    ARID2            1  \n",
       "ARNT-ARNT           True     ARNT            1  \n",
       "DOT1L-DOT1L         True    DOT1L            1  \n",
       "ETV1-ETV1           True     ETV1            1  \n",
       "FOXP3-FOXP3         True    FOXP3            1  \n",
       "GATA4-GATA4         True    GATA4            1  \n",
       "HNF1A-HNF1A         True    HNF1A            1  \n",
       "HOXD1-HOXD1         True    HOXD1            1  \n",
       "HOXD9-HOXD9         True    HOXD9            1  \n",
       "IKZF1-IKZF1         True    IKZF1            1  \n",
       "KDM2A-KDM2A         True    KDM2A            1  \n",
       "KLF2-KLF2           True     KLF2            1  \n",
       "KLF5-KLF5           True     KLF5            1  \n",
       "MAF-MAF             True      MAF            1  \n",
       "MYC-MYC             True      MYC            1  \n",
       "NME2-NME2           True     NME2            1  \n",
       "NR4A2-NR4A2         True    NR4A2            1  \n",
       "PAX8-PAX8           True     PAX8            1  \n",
       "PPARG-PPARG         True    PPARG            1  \n",
       "SATB2-SATB2         True    SATB2            1  \n",
       "SMAD3-SMAD3         True    SMAD3            1  \n",
       "SMAD4-SMAD4         True    SMAD4            1  \n",
       "SMAD9-SMAD9         True    SMAD9            1  \n",
       "SOX17-SOX17         True    SOX17            1  \n",
       "SP1-SP1             True      SP1            1  \n",
       "TCF3-TCF3           True     TCF3            1  \n",
       "TCF7L2-TCF7L2       True   TCF7L2            1  \n",
       "TET2-TET2           True     TET2            1  \n",
       "TP53-TP53           True     TP53            1  \n",
       "TP73-TP73           True     TP73            1  \n",
       "ZKSCAN3-ZKSCAN3     True  ZKSCAN3            1  \n",
       "ZNF292-ZNF292       True   ZNF292            1  \n",
       "ZNF367-ZNF367       True   ZNF367            1  \n",
       "ZNF569-ZNF569       True   ZNF569            1  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dragon_trans_same = dragon_trans[dragon_trans['same TF']]\n",
    "dragon_trans_same['TF'] = dragon_trans_same['node1_tf']\n",
    "dragon_trans_same['is_disgenet'] = 1*(dragon_trans_same['TF'].isin(disgenet_colorectal['Gene']))\n",
    "dragon_trans_same[dragon_trans_same['is_disgenet']==1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "dragon_trans_same_oncokb = dragon_trans_same.merge(oncokb, left_on = 'TF', right_on = 'Hugo Symbol', how = 'left')\n",
    "dragon_trans_same_oncokb['in_oncokb'] = 1*(dragon_trans_same_oncokb['# of occurrence within resources (Column D-J)'].notna())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
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        },
        {
         "name": "node2",
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        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
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         "type": "float"
        },
        {
         "name": "mean",
         "rawType": "float64",
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        },
        {
         "name": "abs_mean",
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         "type": "float"
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        {
         "name": "var",
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        {
         "name": "is_driver",
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        {
         "name": "is_colon_driver",
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         "type": "integer"
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        {
         "name": "Hugo Symbol",
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         "type": "unknown"
        },
        {
         "name": "Entrez Gene ID",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "GRCh37 Isoform",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "GRCh37 RefSeq",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "GRCh38 Isoform",
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         "type": "unknown"
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        {
         "name": "GRCh38 RefSeq",
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        {
         "name": "# of occurrence within resources (Column D-J)",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "OncoKB Annotated",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "Is Oncogene",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "Is Tumor Suppressor Gene",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "MSK-IMPACT",
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        {
         "name": "MSK-HEME",
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        {
         "name": "FOUNDATION ONE",
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        {
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         "name": "Vogelstein",
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         "name": "SANGER CGC(05/30/2017)",
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        {
         "name": "in_oncokb",
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       "conversionMethod": "pd.DataFrame",
       "ref": "b2a14f4b-064e-4970-8910-5b3d31fefd93",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
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       "      <th>0</th>\n",
       "      <td>ADNP2_cnv</td>\n",
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       "      <td>0.020240</td>\n",
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       "      <th>1</th>\n",
       "      <td>ADNP_cnv</td>\n",
       "      <td>ADNP_expression</td>\n",
       "      <td>0.009648</td>\n",
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       "      <td>2.271326e-05</td>\n",
       "      <td>cnv</td>\n",
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       "      <th>2</th>\n",
       "      <td>AEBP1_cnv</td>\n",
       "      <td>AEBP1_expression</td>\n",
       "      <td>0.001966</td>\n",
       "      <td>0.001081</td>\n",
       "      <td>0.001524</td>\n",
       "      <td>0.001524</td>\n",
       "      <td>3.916466e-07</td>\n",
       "      <td>cnv</td>\n",
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       "      <td>AEBP1</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AEBP2_cnv</td>\n",
       "      <td>AEBP2_expression</td>\n",
       "      <td>0.012135</td>\n",
       "      <td>0.013872</td>\n",
       "      <td>0.013004</td>\n",
       "      <td>0.013004</td>\n",
       "      <td>1.509378e-06</td>\n",
       "      <td>cnv</td>\n",
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       "      <th>4</th>\n",
       "      <td>AHCTF1_cnv</td>\n",
       "      <td>AHCTF1_expression</td>\n",
       "      <td>0.008510</td>\n",
       "      <td>0.006059</td>\n",
       "      <td>0.007285</td>\n",
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       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>ZXDA_cnv</td>\n",
       "      <td>ZXDA_expression</td>\n",
       "      <td>-0.001921</td>\n",
       "      <td>0.002036</td>\n",
       "      <td>0.000057</td>\n",
       "      <td>0.001979</td>\n",
       "      <td>7.829143e-06</td>\n",
       "      <td>cnv</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>ZXDB_cnv</td>\n",
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       "      <td>0.001271</td>\n",
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       "      <td>cnv</td>\n",
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       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>ZXDC_cnv</td>\n",
       "      <td>ZXDC_expression</td>\n",
       "      <td>0.006544</td>\n",
       "      <td>0.005312</td>\n",
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       "      <td>7.596631e-07</td>\n",
       "      <td>cnv</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>ZZZ3_cnv</td>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>0.012844</td>\n",
       "      <td>0.013181</td>\n",
       "      <td>0.013012</td>\n",
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       "      <td>cnv</td>\n",
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       "      <td>NaN</td>\n",
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       "<p>1293 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           node1              node2      cms2      cms4      mean  abs_mean  \\\n",
       "0      ADNP2_cnv   ADNP2_expression  0.020240  0.015674  0.017957  0.017957   \n",
       "1       ADNP_cnv    ADNP_expression  0.009648  0.002909  0.006278  0.006278   \n",
       "2      AEBP1_cnv   AEBP1_expression  0.001966  0.001081  0.001524  0.001524   \n",
       "3      AEBP2_cnv   AEBP2_expression  0.012135  0.013872  0.013004  0.013004   \n",
       "4     AHCTF1_cnv  AHCTF1_expression  0.008510  0.006059  0.007285  0.007285   \n",
       "...          ...                ...       ...       ...       ...       ...   \n",
       "1288  ZSCAN9_cnv  ZSCAN9_expression  0.002757  0.004417  0.003587  0.003587   \n",
       "1289    ZXDA_cnv    ZXDA_expression -0.001921  0.002036  0.000057  0.001979   \n",
       "1290    ZXDB_cnv    ZXDB_expression  0.001271  0.002120  0.001696  0.001696   \n",
       "1291    ZXDC_cnv    ZXDC_expression  0.006544  0.005312  0.005928  0.005928   \n",
       "1292    ZZZ3_cnv    ZZZ3_expression  0.012844  0.013181  0.013012  0.013012   \n",
       "\n",
       "               var node1_type  node2_type node1_tf  ... Is Oncogene  \\\n",
       "0     1.042226e-05        cnv  expression    ADNP2  ...         NaN   \n",
       "1     2.271326e-05        cnv  expression     ADNP  ...         NaN   \n",
       "2     3.916466e-07        cnv  expression    AEBP1  ...         NaN   \n",
       "3     1.509378e-06        cnv  expression    AEBP2  ...         NaN   \n",
       "4     3.004390e-06        cnv  expression   AHCTF1  ...         NaN   \n",
       "...            ...        ...         ...      ...  ...         ...   \n",
       "1288  1.377884e-06        cnv  expression   ZSCAN9  ...         NaN   \n",
       "1289  7.829143e-06        cnv  expression     ZXDA  ...         NaN   \n",
       "1290  3.602052e-07        cnv  expression     ZXDB  ...         NaN   \n",
       "1291  7.596631e-07        cnv  expression     ZXDC  ...         NaN   \n",
       "1292  5.654084e-08        cnv  expression     ZZZ3  ...         NaN   \n",
       "\n",
       "      Is Tumor Suppressor Gene  MSK-IMPACT  MSK-HEME FOUNDATION ONE  \\\n",
       "0                          NaN         NaN       NaN            NaN   \n",
       "1                          NaN         NaN       NaN            NaN   \n",
       "2                          NaN         NaN       NaN            NaN   \n",
       "3                          NaN         NaN       NaN            NaN   \n",
       "4                          NaN         NaN       NaN            NaN   \n",
       "...                        ...         ...       ...            ...   \n",
       "1288                       NaN         NaN       NaN            NaN   \n",
       "1289                       NaN         NaN       NaN            NaN   \n",
       "1290                       NaN         NaN       NaN            NaN   \n",
       "1291                       NaN         NaN       NaN            NaN   \n",
       "1292                       NaN         NaN       NaN            NaN   \n",
       "\n",
       "      FOUNDATION ONE HEME Vogelstein  SANGER CGC(05/30/2017)  Gene Aliases  \\\n",
       "0                     NaN        NaN                     NaN           NaN   \n",
       "1                     NaN        NaN                     NaN           NaN   \n",
       "2                     NaN        NaN                     NaN           NaN   \n",
       "3                     NaN        NaN                     NaN           NaN   \n",
       "4                     NaN        NaN                     NaN           NaN   \n",
       "...                   ...        ...                     ...           ...   \n",
       "1288                  NaN        NaN                     NaN           NaN   \n",
       "1289                  NaN        NaN                     NaN           NaN   \n",
       "1290                  NaN        NaN                     NaN           NaN   \n",
       "1291                  NaN        NaN                     NaN           NaN   \n",
       "1292                  NaN        NaN                     NaN           NaN   \n",
       "\n",
       "      in_oncokb  \n",
       "0             0  \n",
       "1             0  \n",
       "2             0  \n",
       "3             0  \n",
       "4             0  \n",
       "...         ...  \n",
       "1288          0  \n",
       "1289          0  \n",
       "1290          0  \n",
       "1291          0  \n",
       "1292          0  \n",
       "\n",
       "[1293 rows x 38 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dragon_trans_same_oncokb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='cms2', ylabel='Density'>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data = dragon_trans_same, x = 'cms2', hue = 'is_colon_driver', stat = 'density', common_norm  = False, kde = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "node1",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "abs_mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "var",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "node1_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>mean</th>\n",
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       "      <th>node2_type</th>\n",
       "      <th>node1_tf</th>\n",
       "      <th>...</th>\n",
       "      <th>Is Oncogene</th>\n",
       "      <th>Is Tumor Suppressor Gene</th>\n",
       "      <th>MSK-IMPACT</th>\n",
       "      <th>MSK-HEME</th>\n",
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       "      <th>57</th>\n",
       "      <td>BRF2_cnv</td>\n",
       "      <td>BRF2_expression</td>\n",
       "      <td>0.056053</td>\n",
       "      <td>0.036068</td>\n",
       "      <td>0.046061</td>\n",
       "      <td>0.046061</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>947</th>\n",
       "      <td>ZNF337_cnv</td>\n",
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       "      <td>0.028097</td>\n",
       "      <td>0.040524</td>\n",
       "      <td>0.040524</td>\n",
       "      <td>0.000309</td>\n",
       "      <td>cnv</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>734</th>\n",
       "      <td>ZBED1_cnv</td>\n",
       "      <td>ZBED1_expression</td>\n",
       "      <td>0.052829</td>\n",
       "      <td>0.015313</td>\n",
       "      <td>0.034071</td>\n",
       "      <td>0.034071</td>\n",
       "      <td>0.000704</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZBED1</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>GZF1_cnv</td>\n",
       "      <td>GZF1_expression</td>\n",
       "      <td>0.042655</td>\n",
       "      <td>0.027883</td>\n",
       "      <td>0.035269</td>\n",
       "      <td>0.035269</td>\n",
       "      <td>0.000109</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>GZF1</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>1180</th>\n",
       "      <td>ZNF703_cnv</td>\n",
       "      <td>ZNF703_expression</td>\n",
       "      <td>0.040671</td>\n",
       "      <td>0.021094</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF703</td>\n",
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       "      <td>FLJ14299, NLZ1, ZEPPO1, ZNF503L, Zpo1</td>\n",
       "      <td>1</td>\n",
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       "      <th>1132</th>\n",
       "      <td>ZNF625_cnv</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1133</th>\n",
       "      <td>ZNF626_cnv</td>\n",
       "      <td>ZNF626_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.000196</td>\n",
       "      <td>-0.000196</td>\n",
       "      <td>0.000196</td>\n",
       "      <td>NaN</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF626</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1152</th>\n",
       "      <td>ZNF667_cnv</td>\n",
       "      <td>ZNF667_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>0.000213</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1166</th>\n",
       "      <td>ZNF683_cnv</td>\n",
       "      <td>ZNF683_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.002407</td>\n",
       "      <td>-0.002407</td>\n",
       "      <td>0.002407</td>\n",
       "      <td>NaN</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF683</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1250</th>\n",
       "      <td>ZNF831_cnv</td>\n",
       "      <td>ZNF831_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001420</td>\n",
       "      <td>0.001420</td>\n",
       "      <td>0.001420</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "<p>1293 rows × 38 columns</p>\n",
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      ],
      "text/plain": [
       "           node1              node2      cms2      cms4      mean  abs_mean  \\\n",
       "57      BRF2_cnv    BRF2_expression  0.056053  0.036068  0.046061  0.046061   \n",
       "947   ZNF337_cnv  ZNF337_expression  0.052950  0.028097  0.040524  0.040524   \n",
       "734    ZBED1_cnv   ZBED1_expression  0.052829  0.015313  0.034071  0.034071   \n",
       "233     GZF1_cnv    GZF1_expression  0.042655  0.027883  0.035269  0.035269   \n",
       "1180  ZNF703_cnv  ZNF703_expression  0.040671  0.021094  0.030882  0.030882   \n",
       "...          ...                ...       ...       ...       ...       ...   \n",
       "1132  ZNF625_cnv  ZNF625_expression       NaN  0.000530  0.000530  0.000530   \n",
       "1133  ZNF626_cnv  ZNF626_expression       NaN -0.000196 -0.000196  0.000196   \n",
       "1152  ZNF667_cnv  ZNF667_expression       NaN  0.000213  0.000213  0.000213   \n",
       "1166  ZNF683_cnv  ZNF683_expression       NaN -0.002407 -0.002407  0.002407   \n",
       "1250  ZNF831_cnv  ZNF831_expression       NaN  0.001420  0.001420  0.001420   \n",
       "\n",
       "           var node1_type  node2_type node1_tf  ... Is Oncogene  \\\n",
       "57    0.000200        cnv  expression     BRF2  ...         NaN   \n",
       "947   0.000309        cnv  expression   ZNF337  ...         NaN   \n",
       "734   0.000704        cnv  expression    ZBED1  ...         NaN   \n",
       "233   0.000109        cnv  expression     GZF1  ...         NaN   \n",
       "1180  0.000192        cnv  expression   ZNF703  ...          No   \n",
       "...        ...        ...         ...      ...  ...         ...   \n",
       "1132       NaN        cnv  expression   ZNF625  ...         NaN   \n",
       "1133       NaN        cnv  expression   ZNF626  ...         NaN   \n",
       "1152       NaN        cnv  expression   ZNF667  ...         NaN   \n",
       "1166       NaN        cnv  expression   ZNF683  ...         NaN   \n",
       "1250       NaN        cnv  expression   ZNF831  ...         NaN   \n",
       "\n",
       "      Is Tumor Suppressor Gene  MSK-IMPACT  MSK-HEME FOUNDATION ONE  \\\n",
       "57                         NaN         NaN       NaN            NaN   \n",
       "947                        NaN         NaN       NaN            NaN   \n",
       "734                        NaN         NaN       NaN            NaN   \n",
       "233                        NaN         NaN       NaN            NaN   \n",
       "1180                        No          No        No            Yes   \n",
       "...                        ...         ...       ...            ...   \n",
       "1132                       NaN         NaN       NaN            NaN   \n",
       "1133                       NaN         NaN       NaN            NaN   \n",
       "1152                       NaN         NaN       NaN            NaN   \n",
       "1166                       NaN         NaN       NaN            NaN   \n",
       "1250                       NaN         NaN       NaN            NaN   \n",
       "\n",
       "      FOUNDATION ONE HEME Vogelstein  SANGER CGC(05/30/2017)  \\\n",
       "57                    NaN        NaN                     NaN   \n",
       "947                   NaN        NaN                     NaN   \n",
       "734                   NaN        NaN                     NaN   \n",
       "233                   NaN        NaN                     NaN   \n",
       "1180                  Yes         No                      No   \n",
       "...                   ...        ...                     ...   \n",
       "1132                  NaN        NaN                     NaN   \n",
       "1133                  NaN        NaN                     NaN   \n",
       "1152                  NaN        NaN                     NaN   \n",
       "1166                  NaN        NaN                     NaN   \n",
       "1250                  NaN        NaN                     NaN   \n",
       "\n",
       "                               Gene Aliases  in_oncokb  \n",
       "57                                      NaN          0  \n",
       "947                                     NaN          0  \n",
       "734                                     NaN          0  \n",
       "233                                     NaN          0  \n",
       "1180  FLJ14299, NLZ1, ZEPPO1, ZNF503L, Zpo1          1  \n",
       "...                                     ...        ...  \n",
       "1132                                    NaN          0  \n",
       "1133                                    NaN          0  \n",
       "1152                                    NaN          0  \n",
       "1166                                    NaN          0  \n",
       "1250                                    NaN          0  \n",
       "\n",
       "[1293 rows x 38 columns]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
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    }
   ],
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    "dragon_trans_same_oncokb.sort_values(by = 'cms2', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
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       "      <td>0.040671</td>\n",
       "      <td>0.021094</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF703</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>FLJ14299, NLZ1, ZEPPO1, ZNF503L, Zpo1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>SMAD4_cnv</td>\n",
       "      <td>SMAD4_expression</td>\n",
       "      <td>0.027467</td>\n",
       "      <td>0.031353</td>\n",
       "      <td>0.029410</td>\n",
       "      <td>0.029410</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SMAD4</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DPC4, MADH4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>ZNF18_cnv</td>\n",
       "      <td>ZNF18_expression</td>\n",
       "      <td>0.036304</td>\n",
       "      <td>0.015480</td>\n",
       "      <td>0.025892</td>\n",
       "      <td>0.025892</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF18</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>TEAD4_cnv</td>\n",
       "      <td>TEAD4_expression</td>\n",
       "      <td>0.025747</td>\n",
       "      <td>0.024150</td>\n",
       "      <td>0.024949</td>\n",
       "      <td>0.024949</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>TEAD4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>ZNF133_cnv</td>\n",
       "      <td>ZNF133_expression</td>\n",
       "      <td>0.034557</td>\n",
       "      <td>0.014806</td>\n",
       "      <td>0.024681</td>\n",
       "      <td>0.024681</td>\n",
       "      <td>0.000195</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF133</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>ZNF131_cnv</td>\n",
       "      <td>ZNF131_expression</td>\n",
       "      <td>0.027000</td>\n",
       "      <td>0.021018</td>\n",
       "      <td>0.024009</td>\n",
       "      <td>0.024009</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF131</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>ZNF395_cnv</td>\n",
       "      <td>ZNF395_expression</td>\n",
       "      <td>0.032108</td>\n",
       "      <td>0.015531</td>\n",
       "      <td>0.023820</td>\n",
       "      <td>0.023820</td>\n",
       "      <td>0.000137</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF395</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>THAP1_cnv</td>\n",
       "      <td>THAP1_expression</td>\n",
       "      <td>0.033887</td>\n",
       "      <td>0.010604</td>\n",
       "      <td>0.022246</td>\n",
       "      <td>0.022246</td>\n",
       "      <td>0.000271</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>THAP1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1050</th>\n",
       "      <td>ZNF519_cnv</td>\n",
       "      <td>ZNF519_expression</td>\n",
       "      <td>0.027276</td>\n",
       "      <td>0.016914</td>\n",
       "      <td>0.022095</td>\n",
       "      <td>0.022095</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF519</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>IRF2_cnv</td>\n",
       "      <td>IRF2_expression</td>\n",
       "      <td>0.021963</td>\n",
       "      <td>0.019639</td>\n",
       "      <td>0.020801</td>\n",
       "      <td>0.020801</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>IRF2</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>GATA6_cnv</td>\n",
       "      <td>GATA6_expression</td>\n",
       "      <td>0.025207</td>\n",
       "      <td>0.015755</td>\n",
       "      <td>0.020481</td>\n",
       "      <td>0.020481</td>\n",
       "      <td>0.000045</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>GATA6</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>744</th>\n",
       "      <td>ZBTB14_cnv</td>\n",
       "      <td>ZBTB14_expression</td>\n",
       "      <td>0.017723</td>\n",
       "      <td>0.021355</td>\n",
       "      <td>0.019539</td>\n",
       "      <td>0.019539</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZBTB14</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>FOXM1_cnv</td>\n",
       "      <td>FOXM1_expression</td>\n",
       "      <td>0.022629</td>\n",
       "      <td>0.016256</td>\n",
       "      <td>0.019442</td>\n",
       "      <td>0.019442</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>FOXM1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>ZNF596_cnv</td>\n",
       "      <td>ZNF596_expression</td>\n",
       "      <td>0.026943</td>\n",
       "      <td>0.011169</td>\n",
       "      <td>0.019056</td>\n",
       "      <td>0.019056</td>\n",
       "      <td>0.000124</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF596</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>OVOL2_cnv</td>\n",
       "      <td>OVOL2_expression</td>\n",
       "      <td>0.027494</td>\n",
       "      <td>0.010307</td>\n",
       "      <td>0.018901</td>\n",
       "      <td>0.018901</td>\n",
       "      <td>0.000148</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>OVOL2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>NFXL1_cnv</td>\n",
       "      <td>NFXL1_expression</td>\n",
       "      <td>0.023969</td>\n",
       "      <td>0.013764</td>\n",
       "      <td>0.018866</td>\n",
       "      <td>0.018866</td>\n",
       "      <td>0.000052</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>NFXL1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           node1              node2      cms2      cms4      mean  abs_mean  \\\n",
       "57      BRF2_cnv    BRF2_expression  0.056053  0.036068  0.046061  0.046061   \n",
       "947   ZNF337_cnv  ZNF337_expression  0.052950  0.028097  0.040524  0.040524   \n",
       "233     GZF1_cnv    GZF1_expression  0.042655  0.027883  0.035269  0.035269   \n",
       "734    ZBED1_cnv   ZBED1_expression  0.052829  0.015313  0.034071  0.034071   \n",
       "1180  ZNF703_cnv  ZNF703_expression  0.040671  0.021094  0.030882  0.030882   \n",
       "586    SMAD4_cnv   SMAD4_expression  0.027467  0.031353  0.029410  0.029410   \n",
       "860    ZNF18_cnv   ZNF18_expression  0.036304  0.015480  0.025892  0.025892   \n",
       "661    TEAD4_cnv   TEAD4_expression  0.025747  0.024150  0.024949  0.024949   \n",
       "833   ZNF133_cnv  ZNF133_expression  0.034557  0.014806  0.024681  0.024681   \n",
       "831   ZNF131_cnv  ZNF131_expression  0.027000  0.021018  0.024009  0.024009   \n",
       "974   ZNF395_cnv  ZNF395_expression  0.032108  0.015531  0.023820  0.023820   \n",
       "684    THAP1_cnv   THAP1_expression  0.033887  0.010604  0.022246  0.022246   \n",
       "1050  ZNF519_cnv  ZNF519_expression  0.027276  0.016914  0.022095  0.022095   \n",
       "307     IRF2_cnv    IRF2_expression  0.021963  0.019639  0.020801  0.020801   \n",
       "208    GATA6_cnv   GATA6_expression  0.025207  0.015755  0.020481  0.020481   \n",
       "744   ZBTB14_cnv  ZBTB14_expression  0.017723  0.021355  0.019539  0.019539   \n",
       "191    FOXM1_cnv   FOXM1_expression  0.022629  0.016256  0.019442  0.019442   \n",
       "1110  ZNF596_cnv  ZNF596_expression  0.026943  0.011169  0.019056  0.019056   \n",
       "475    OVOL2_cnv   OVOL2_expression  0.027494  0.010307  0.018901  0.018901   \n",
       "442    NFXL1_cnv   NFXL1_expression  0.023969  0.013764  0.018866  0.018866   \n",
       "\n",
       "           var node1_type  node2_type node1_tf  ... Is Oncogene  \\\n",
       "57    0.000200        cnv  expression     BRF2  ...         NaN   \n",
       "947   0.000309        cnv  expression   ZNF337  ...         NaN   \n",
       "233   0.000109        cnv  expression     GZF1  ...         NaN   \n",
       "734   0.000704        cnv  expression    ZBED1  ...         NaN   \n",
       "1180  0.000192        cnv  expression   ZNF703  ...          No   \n",
       "586   0.000008        cnv  expression    SMAD4  ...          No   \n",
       "860   0.000217        cnv  expression    ZNF18  ...         NaN   \n",
       "661   0.000001        cnv  expression    TEAD4  ...         NaN   \n",
       "833   0.000195        cnv  expression   ZNF133  ...         NaN   \n",
       "831   0.000018        cnv  expression   ZNF131  ...         NaN   \n",
       "974   0.000137        cnv  expression   ZNF395  ...         NaN   \n",
       "684   0.000271        cnv  expression    THAP1  ...         NaN   \n",
       "1050  0.000054        cnv  expression   ZNF519  ...         NaN   \n",
       "307   0.000003        cnv  expression     IRF2  ...          No   \n",
       "208   0.000045        cnv  expression    GATA6  ...          No   \n",
       "744   0.000007        cnv  expression   ZBTB14  ...         NaN   \n",
       "191   0.000020        cnv  expression    FOXM1  ...         NaN   \n",
       "1110  0.000124        cnv  expression   ZNF596  ...         NaN   \n",
       "475   0.000148        cnv  expression    OVOL2  ...         NaN   \n",
       "442   0.000052        cnv  expression    NFXL1  ...         NaN   \n",
       "\n",
       "      Is Tumor Suppressor Gene  MSK-IMPACT  MSK-HEME FOUNDATION ONE  \\\n",
       "57                         NaN         NaN       NaN            NaN   \n",
       "947                        NaN         NaN       NaN            NaN   \n",
       "233                        NaN         NaN       NaN            NaN   \n",
       "734                        NaN         NaN       NaN            NaN   \n",
       "1180                        No          No        No            Yes   \n",
       "586                        Yes         Yes       Yes            Yes   \n",
       "860                        NaN         NaN       NaN            NaN   \n",
       "661                        NaN         NaN       NaN            NaN   \n",
       "833                        NaN         NaN       NaN            NaN   \n",
       "831                        NaN         NaN       NaN            NaN   \n",
       "974                        NaN         NaN       NaN            NaN   \n",
       "684                        NaN         NaN       NaN            NaN   \n",
       "1050                       NaN         NaN       NaN            NaN   \n",
       "307                         No          No        No            Yes   \n",
       "208                         No          No        No            Yes   \n",
       "744                        NaN         NaN       NaN            NaN   \n",
       "191                        NaN         NaN       NaN            NaN   \n",
       "1110                       NaN         NaN       NaN            NaN   \n",
       "475                        NaN         NaN       NaN            NaN   \n",
       "442                        NaN         NaN       NaN            NaN   \n",
       "\n",
       "      FOUNDATION ONE HEME Vogelstein  SANGER CGC(05/30/2017)  \\\n",
       "57                    NaN        NaN                     NaN   \n",
       "947                   NaN        NaN                     NaN   \n",
       "233                   NaN        NaN                     NaN   \n",
       "734                   NaN        NaN                     NaN   \n",
       "1180                  Yes         No                      No   \n",
       "586                   Yes        Yes                     Yes   \n",
       "860                   NaN        NaN                     NaN   \n",
       "661                   NaN        NaN                     NaN   \n",
       "833                   NaN        NaN                     NaN   \n",
       "831                   NaN        NaN                     NaN   \n",
       "974                   NaN        NaN                     NaN   \n",
       "684                   NaN        NaN                     NaN   \n",
       "1050                  NaN        NaN                     NaN   \n",
       "307                    No         No                      No   \n",
       "208                    No         No                      No   \n",
       "744                   NaN        NaN                     NaN   \n",
       "191                   NaN        NaN                     NaN   \n",
       "1110                  NaN        NaN                     NaN   \n",
       "475                   NaN        NaN                     NaN   \n",
       "442                   NaN        NaN                     NaN   \n",
       "\n",
       "                               Gene Aliases  in_oncokb  \n",
       "57                                      NaN          0  \n",
       "947                                     NaN          0  \n",
       "233                                     NaN          0  \n",
       "734                                     NaN          0  \n",
       "1180  FLJ14299, NLZ1, ZEPPO1, ZNF503L, Zpo1          1  \n",
       "586                             DPC4, MADH4          1  \n",
       "860                                     NaN          0  \n",
       "661                                     NaN          0  \n",
       "833                                     NaN          0  \n",
       "831                                     NaN          0  \n",
       "974                                     NaN          0  \n",
       "684                                     NaN          0  \n",
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     "execution_count": 64,
     "metadata": {},
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>mean</th>\n",
       "      <th>abs_mean</th>\n",
       "      <th>var</th>\n",
       "      <th>node1_type</th>\n",
       "      <th>node2_type</th>\n",
       "      <th>node1_tf</th>\n",
       "      <th>...</th>\n",
       "      <th>Is Oncogene</th>\n",
       "      <th>Is Tumor Suppressor Gene</th>\n",
       "      <th>MSK-IMPACT</th>\n",
       "      <th>MSK-HEME</th>\n",
       "      <th>FOUNDATION ONE</th>\n",
       "      <th>FOUNDATION ONE HEME</th>\n",
       "      <th>Vogelstein</th>\n",
       "      <th>SANGER CGC(05/30/2017)</th>\n",
       "      <th>Gene Aliases</th>\n",
       "      <th>in_oncokb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>BRF2_cnv</td>\n",
       "      <td>BRF2_expression</td>\n",
       "      <td>0.056053</td>\n",
       "      <td>0.036068</td>\n",
       "      <td>0.046061</td>\n",
       "      <td>0.046061</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>BRF2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>947</th>\n",
       "      <td>ZNF337_cnv</td>\n",
       "      <td>ZNF337_expression</td>\n",
       "      <td>0.052950</td>\n",
       "      <td>0.028097</td>\n",
       "      <td>0.040524</td>\n",
       "      <td>0.040524</td>\n",
       "      <td>0.000309</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF337</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>GZF1_cnv</td>\n",
       "      <td>GZF1_expression</td>\n",
       "      <td>0.042655</td>\n",
       "      <td>0.027883</td>\n",
       "      <td>0.035269</td>\n",
       "      <td>0.035269</td>\n",
       "      <td>0.000109</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>GZF1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>734</th>\n",
       "      <td>ZBED1_cnv</td>\n",
       "      <td>ZBED1_expression</td>\n",
       "      <td>0.052829</td>\n",
       "      <td>0.015313</td>\n",
       "      <td>0.034071</td>\n",
       "      <td>0.034071</td>\n",
       "      <td>0.000704</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZBED1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>ZNF703_cnv</td>\n",
       "      <td>ZNF703_expression</td>\n",
       "      <td>0.040671</td>\n",
       "      <td>0.021094</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF703</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>FLJ14299, NLZ1, ZEPPO1, ZNF503L, Zpo1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>SMAD4_cnv</td>\n",
       "      <td>SMAD4_expression</td>\n",
       "      <td>0.027467</td>\n",
       "      <td>0.031353</td>\n",
       "      <td>0.029410</td>\n",
       "      <td>0.029410</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SMAD4</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DPC4, MADH4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>ZNF18_cnv</td>\n",
       "      <td>ZNF18_expression</td>\n",
       "      <td>0.036304</td>\n",
       "      <td>0.015480</td>\n",
       "      <td>0.025892</td>\n",
       "      <td>0.025892</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF18</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>TEAD4_cnv</td>\n",
       "      <td>TEAD4_expression</td>\n",
       "      <td>0.025747</td>\n",
       "      <td>0.024150</td>\n",
       "      <td>0.024949</td>\n",
       "      <td>0.024949</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>TEAD4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>ZNF133_cnv</td>\n",
       "      <td>ZNF133_expression</td>\n",
       "      <td>0.034557</td>\n",
       "      <td>0.014806</td>\n",
       "      <td>0.024681</td>\n",
       "      <td>0.024681</td>\n",
       "      <td>0.000195</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF133</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>ZNF131_cnv</td>\n",
       "      <td>ZNF131_expression</td>\n",
       "      <td>0.027000</td>\n",
       "      <td>0.021018</td>\n",
       "      <td>0.024009</td>\n",
       "      <td>0.024009</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF131</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>ZNF395_cnv</td>\n",
       "      <td>ZNF395_expression</td>\n",
       "      <td>0.032108</td>\n",
       "      <td>0.015531</td>\n",
       "      <td>0.023820</td>\n",
       "      <td>0.023820</td>\n",
       "      <td>0.000137</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF395</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>THAP1_cnv</td>\n",
       "      <td>THAP1_expression</td>\n",
       "      <td>0.033887</td>\n",
       "      <td>0.010604</td>\n",
       "      <td>0.022246</td>\n",
       "      <td>0.022246</td>\n",
       "      <td>0.000271</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>THAP1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1050</th>\n",
       "      <td>ZNF519_cnv</td>\n",
       "      <td>ZNF519_expression</td>\n",
       "      <td>0.027276</td>\n",
       "      <td>0.016914</td>\n",
       "      <td>0.022095</td>\n",
       "      <td>0.022095</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF519</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>IRF2_cnv</td>\n",
       "      <td>IRF2_expression</td>\n",
       "      <td>0.021963</td>\n",
       "      <td>0.019639</td>\n",
       "      <td>0.020801</td>\n",
       "      <td>0.020801</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>IRF2</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>GATA6_cnv</td>\n",
       "      <td>GATA6_expression</td>\n",
       "      <td>0.025207</td>\n",
       "      <td>0.015755</td>\n",
       "      <td>0.020481</td>\n",
       "      <td>0.020481</td>\n",
       "      <td>0.000045</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>GATA6</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>744</th>\n",
       "      <td>ZBTB14_cnv</td>\n",
       "      <td>ZBTB14_expression</td>\n",
       "      <td>0.017723</td>\n",
       "      <td>0.021355</td>\n",
       "      <td>0.019539</td>\n",
       "      <td>0.019539</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZBTB14</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>FOXM1_cnv</td>\n",
       "      <td>FOXM1_expression</td>\n",
       "      <td>0.022629</td>\n",
       "      <td>0.016256</td>\n",
       "      <td>0.019442</td>\n",
       "      <td>0.019442</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>FOXM1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>ZNF596_cnv</td>\n",
       "      <td>ZNF596_expression</td>\n",
       "      <td>0.026943</td>\n",
       "      <td>0.011169</td>\n",
       "      <td>0.019056</td>\n",
       "      <td>0.019056</td>\n",
       "      <td>0.000124</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF596</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>OVOL2_cnv</td>\n",
       "      <td>OVOL2_expression</td>\n",
       "      <td>0.027494</td>\n",
       "      <td>0.010307</td>\n",
       "      <td>0.018901</td>\n",
       "      <td>0.018901</td>\n",
       "      <td>0.000148</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>OVOL2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>NFXL1_cnv</td>\n",
       "      <td>NFXL1_expression</td>\n",
       "      <td>0.023969</td>\n",
       "      <td>0.013764</td>\n",
       "      <td>0.018866</td>\n",
       "      <td>0.018866</td>\n",
       "      <td>0.000052</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>NFXL1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           node1              node2      cms2      cms4      mean  abs_mean  \\\n",
       "57      BRF2_cnv    BRF2_expression  0.056053  0.036068  0.046061  0.046061   \n",
       "947   ZNF337_cnv  ZNF337_expression  0.052950  0.028097  0.040524  0.040524   \n",
       "233     GZF1_cnv    GZF1_expression  0.042655  0.027883  0.035269  0.035269   \n",
       "734    ZBED1_cnv   ZBED1_expression  0.052829  0.015313  0.034071  0.034071   \n",
       "1180  ZNF703_cnv  ZNF703_expression  0.040671  0.021094  0.030882  0.030882   \n",
       "586    SMAD4_cnv   SMAD4_expression  0.027467  0.031353  0.029410  0.029410   \n",
       "860    ZNF18_cnv   ZNF18_expression  0.036304  0.015480  0.025892  0.025892   \n",
       "661    TEAD4_cnv   TEAD4_expression  0.025747  0.024150  0.024949  0.024949   \n",
       "833   ZNF133_cnv  ZNF133_expression  0.034557  0.014806  0.024681  0.024681   \n",
       "831   ZNF131_cnv  ZNF131_expression  0.027000  0.021018  0.024009  0.024009   \n",
       "974   ZNF395_cnv  ZNF395_expression  0.032108  0.015531  0.023820  0.023820   \n",
       "684    THAP1_cnv   THAP1_expression  0.033887  0.010604  0.022246  0.022246   \n",
       "1050  ZNF519_cnv  ZNF519_expression  0.027276  0.016914  0.022095  0.022095   \n",
       "307     IRF2_cnv    IRF2_expression  0.021963  0.019639  0.020801  0.020801   \n",
       "208    GATA6_cnv   GATA6_expression  0.025207  0.015755  0.020481  0.020481   \n",
       "744   ZBTB14_cnv  ZBTB14_expression  0.017723  0.021355  0.019539  0.019539   \n",
       "191    FOXM1_cnv   FOXM1_expression  0.022629  0.016256  0.019442  0.019442   \n",
       "1110  ZNF596_cnv  ZNF596_expression  0.026943  0.011169  0.019056  0.019056   \n",
       "475    OVOL2_cnv   OVOL2_expression  0.027494  0.010307  0.018901  0.018901   \n",
       "442    NFXL1_cnv   NFXL1_expression  0.023969  0.013764  0.018866  0.018866   \n",
       "\n",
       "           var node1_type  node2_type node1_tf  ... Is Oncogene  \\\n",
       "57    0.000200        cnv  expression     BRF2  ...         NaN   \n",
       "947   0.000309        cnv  expression   ZNF337  ...         NaN   \n",
       "233   0.000109        cnv  expression     GZF1  ...         NaN   \n",
       "734   0.000704        cnv  expression    ZBED1  ...         NaN   \n",
       "1180  0.000192        cnv  expression   ZNF703  ...          No   \n",
       "586   0.000008        cnv  expression    SMAD4  ...          No   \n",
       "860   0.000217        cnv  expression    ZNF18  ...         NaN   \n",
       "661   0.000001        cnv  expression    TEAD4  ...         NaN   \n",
       "833   0.000195        cnv  expression   ZNF133  ...         NaN   \n",
       "831   0.000018        cnv  expression   ZNF131  ...         NaN   \n",
       "974   0.000137        cnv  expression   ZNF395  ...         NaN   \n",
       "684   0.000271        cnv  expression    THAP1  ...         NaN   \n",
       "1050  0.000054        cnv  expression   ZNF519  ...         NaN   \n",
       "307   0.000003        cnv  expression     IRF2  ...          No   \n",
       "208   0.000045        cnv  expression    GATA6  ...          No   \n",
       "744   0.000007        cnv  expression   ZBTB14  ...         NaN   \n",
       "191   0.000020        cnv  expression    FOXM1  ...         NaN   \n",
       "1110  0.000124        cnv  expression   ZNF596  ...         NaN   \n",
       "475   0.000148        cnv  expression    OVOL2  ...         NaN   \n",
       "442   0.000052        cnv  expression    NFXL1  ...         NaN   \n",
       "\n",
       "      Is Tumor Suppressor Gene  MSK-IMPACT  MSK-HEME FOUNDATION ONE  \\\n",
       "57                         NaN         NaN       NaN            NaN   \n",
       "947                        NaN         NaN       NaN            NaN   \n",
       "233                        NaN         NaN       NaN            NaN   \n",
       "734                        NaN         NaN       NaN            NaN   \n",
       "1180                        No          No        No            Yes   \n",
       "586                        Yes         Yes       Yes            Yes   \n",
       "860                        NaN         NaN       NaN            NaN   \n",
       "661                        NaN         NaN       NaN            NaN   \n",
       "833                        NaN         NaN       NaN            NaN   \n",
       "831                        NaN         NaN       NaN            NaN   \n",
       "974                        NaN         NaN       NaN            NaN   \n",
       "684                        NaN         NaN       NaN            NaN   \n",
       "1050                       NaN         NaN       NaN            NaN   \n",
       "307                         No          No        No            Yes   \n",
       "208                         No          No        No            Yes   \n",
       "744                        NaN         NaN       NaN            NaN   \n",
       "191                        NaN         NaN       NaN            NaN   \n",
       "1110                       NaN         NaN       NaN            NaN   \n",
       "475                        NaN         NaN       NaN            NaN   \n",
       "442                        NaN         NaN       NaN            NaN   \n",
       "\n",
       "      FOUNDATION ONE HEME Vogelstein  SANGER CGC(05/30/2017)  \\\n",
       "57                    NaN        NaN                     NaN   \n",
       "947                   NaN        NaN                     NaN   \n",
       "233                   NaN        NaN                     NaN   \n",
       "734                   NaN        NaN                     NaN   \n",
       "1180                  Yes         No                      No   \n",
       "586                   Yes        Yes                     Yes   \n",
       "860                   NaN        NaN                     NaN   \n",
       "661                   NaN        NaN                     NaN   \n",
       "833                   NaN        NaN                     NaN   \n",
       "831                   NaN        NaN                     NaN   \n",
       "974                   NaN        NaN                     NaN   \n",
       "684                   NaN        NaN                     NaN   \n",
       "1050                  NaN        NaN                     NaN   \n",
       "307                    No         No                      No   \n",
       "208                    No         No                      No   \n",
       "744                   NaN        NaN                     NaN   \n",
       "191                   NaN        NaN                     NaN   \n",
       "1110                  NaN        NaN                     NaN   \n",
       "475                   NaN        NaN                     NaN   \n",
       "442                   NaN        NaN                     NaN   \n",
       "\n",
       "                               Gene Aliases  in_oncokb  \n",
       "57                                      NaN          0  \n",
       "947                                     NaN          0  \n",
       "233                                     NaN          0  \n",
       "734                                     NaN          0  \n",
       "1180  FLJ14299, NLZ1, ZEPPO1, ZNF503L, Zpo1          1  \n",
       "586                             DPC4, MADH4          1  \n",
       "860                                     NaN          0  \n",
       "661                                     NaN          0  \n",
       "833                                     NaN          0  \n",
       "831                                     NaN          0  \n",
       "974                                     NaN          0  \n",
       "684                                     NaN          0  \n",
       "1050                                    NaN          0  \n",
       "307                                     NaN          1  \n",
       "208                                     NaN          1  \n",
       "744                                     NaN          0  \n",
       "191                                     NaN          0  \n",
       "1110                                    NaN          0  \n",
       "475                                     NaN          0  \n",
       "442                                     NaN          0  \n",
       "\n",
       "[20 rows x 38 columns]"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "dragon_trans_same_oncokb.sort_values(by = 'mean', ascending = False).iloc[:20]"
   ]
  },
  {
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   "execution_count": 177,
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       "                 node1             node2      cms2      cms4     mean  \\\n",
       "edge                                                                    \n",
       "SMAD4-SMAD4  SMAD4_cnv  SMAD4_expression  0.027467  0.031353  0.02941   \n",
       "\n",
       "             abs_mean       var node1_type  node2_type node1_tf node2_tf  \\\n",
       "edge                                                                       \n",
       "SMAD4-SMAD4   0.02941  0.000008        cnv  expression    SMAD4    SMAD4   \n",
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       "             cms2_abs  cms4_abs  same       edge_type  same TF     TF  \\\n",
       "edge                                                                    \n",
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       "\n",
       "             is_disgenet  is_driver  is_colon_driver  \n",
       "edge                                                  \n",
       "SMAD4-SMAD4            1          1                1  "
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       "      <td>SMAD4</td>\n",
       "      <td>0.027467</td>\n",
       "      <td>0.031353</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>SMAD4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF703-ZNF703</th>\n",
       "      <td>ZNF703_cnv</td>\n",
       "      <td>ZNF703_expression</td>\n",
       "      <td>0.040671</td>\n",
       "      <td>0.021094</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF703</td>\n",
       "      <td>ZNF703</td>\n",
       "      <td>0.040671</td>\n",
       "      <td>0.021094</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF703</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IRF2-IRF2</th>\n",
       "      <td>IRF2_cnv</td>\n",
       "      <td>IRF2_expression</td>\n",
       "      <td>0.021963</td>\n",
       "      <td>0.019639</td>\n",
       "      <td>0.020801</td>\n",
       "      <td>0.020801</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>IRF2</td>\n",
       "      <td>IRF2</td>\n",
       "      <td>0.021963</td>\n",
       "      <td>0.019639</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>IRF2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GATA6-GATA6</th>\n",
       "      <td>GATA6_cnv</td>\n",
       "      <td>GATA6_expression</td>\n",
       "      <td>0.025207</td>\n",
       "      <td>0.015755</td>\n",
       "      <td>0.020481</td>\n",
       "      <td>0.020481</td>\n",
       "      <td>0.000045</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>GATA6</td>\n",
       "      <td>GATA6</td>\n",
       "      <td>0.025207</td>\n",
       "      <td>0.015755</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>GATA6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    node1              node2      cms2      cms4      mean  \\\n",
       "edge                                                                         \n",
       "SMAD4-SMAD4     SMAD4_cnv   SMAD4_expression  0.027467  0.031353  0.029410   \n",
       "ZNF703-ZNF703  ZNF703_cnv  ZNF703_expression  0.040671  0.021094  0.030882   \n",
       "IRF2-IRF2        IRF2_cnv    IRF2_expression  0.021963  0.019639  0.020801   \n",
       "GATA6-GATA6     GATA6_cnv   GATA6_expression  0.025207  0.015755  0.020481   \n",
       "\n",
       "               abs_mean       var node1_type  node2_type node1_tf node2_tf  \\\n",
       "edge                                                                         \n",
       "SMAD4-SMAD4    0.029410  0.000008        cnv  expression    SMAD4    SMAD4   \n",
       "ZNF703-ZNF703  0.030882  0.000192        cnv  expression   ZNF703   ZNF703   \n",
       "IRF2-IRF2      0.020801  0.000003        cnv  expression     IRF2     IRF2   \n",
       "GATA6-GATA6    0.020481  0.000045        cnv  expression    GATA6    GATA6   \n",
       "\n",
       "               cms2_abs  cms4_abs  same       edge_type  same TF      TF  \\\n",
       "edge                                                                       \n",
       "SMAD4-SMAD4    0.027467  0.031353     1  cnv-expression     True   SMAD4   \n",
       "ZNF703-ZNF703  0.040671  0.021094     1  cnv-expression     True  ZNF703   \n",
       "IRF2-IRF2      0.021963  0.019639     1  cnv-expression     True    IRF2   \n",
       "GATA6-GATA6    0.025207  0.015755     1  cnv-expression     True   GATA6   \n",
       "\n",
       "               is_disgenet  is_driver  is_colon_driver  \n",
       "edge                                                    \n",
       "SMAD4-SMAD4              1          1                1  \n",
       "ZNF703-ZNF703            0          0                0  \n",
       "IRF2-IRF2                0          0                0  \n",
       "GATA6-GATA6              0          0                0  "
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dragon_trans_same.sort_values(by = 'mean', ascending = False).loc[['SMAD4-SMAD4','ZNF703-ZNF703','IRF2-IRF2','GATA6-GATA6'],:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "edge",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "abs_mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "var",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "node1_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_type",
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        {
         "name": "node1_tf",
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        {
         "name": "node2_tf",
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        },
        {
         "name": "cms2_abs",
         "rawType": "float64",
         "type": "float"
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        {
         "name": "cms4_abs",
         "rawType": "float64",
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        {
         "name": "same",
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        {
         "name": "edge_type",
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        {
         "name": "same TF",
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        {
         "name": "TF",
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        {
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        {
         "name": "is_driver",
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        },
        {
         "name": "is_colon_driver",
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       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "b9bebf80-6627-4db4-bfae-d8c88c232738",
       "rows": [
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        [
         "GZF1-GZF1",
         "GZF1_cnv",
         "GZF1_expression",
         "0.0426548243757754",
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        [
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         "ZNF18_expression",
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         "0.02589205052506025",
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         "ZNF133_expression",
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         "THAP1-THAP1",
         "THAP1_cnv",
         "THAP1_expression",
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       "      <td>ZNF703_cnv</td>\n",
       "      <td>ZNF703_expression</td>\n",
       "      <td>0.040671</td>\n",
       "      <td>0.021094</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.030882</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF703</td>\n",
       "      <td>ZNF703</td>\n",
       "      <td>0.040671</td>\n",
       "      <td>0.021094</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF703</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF625-ZNF625</th>\n",
       "      <td>ZNF625_cnv</td>\n",
       "      <td>ZNF625_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000530</td>\n",
       "      <td>0.000530</td>\n",
       "      <td>0.000530</td>\n",
       "      <td>NaN</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF625</td>\n",
       "      <td>ZNF625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000530</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF625</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF626-ZNF626</th>\n",
       "      <td>ZNF626_cnv</td>\n",
       "      <td>ZNF626_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.000196</td>\n",
       "      <td>-0.000196</td>\n",
       "      <td>0.000196</td>\n",
       "      <td>NaN</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF626</td>\n",
       "      <td>ZNF626</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000196</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF626</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF667-ZNF667</th>\n",
       "      <td>ZNF667_cnv</td>\n",
       "      <td>ZNF667_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>NaN</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF667</td>\n",
       "      <td>ZNF667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF667</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF683-ZNF683</th>\n",
       "      <td>ZNF683_cnv</td>\n",
       "      <td>ZNF683_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.002407</td>\n",
       "      <td>-0.002407</td>\n",
       "      <td>0.002407</td>\n",
       "      <td>NaN</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF683</td>\n",
       "      <td>ZNF683</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002407</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF683</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNF831-ZNF831</th>\n",
       "      <td>ZNF831_cnv</td>\n",
       "      <td>ZNF831_expression</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001420</td>\n",
       "      <td>0.001420</td>\n",
       "      <td>0.001420</td>\n",
       "      <td>NaN</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZNF831</td>\n",
       "      <td>ZNF831</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001420</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>True</td>\n",
       "      <td>ZNF831</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1293 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    node1              node2      cms2      cms4      mean  \\\n",
       "edge                                                                         \n",
       "BRF2-BRF2        BRF2_cnv    BRF2_expression  0.056053  0.036068  0.046061   \n",
       "ZNF337-ZNF337  ZNF337_cnv  ZNF337_expression  0.052950  0.028097  0.040524   \n",
       "ZBED1-ZBED1     ZBED1_cnv   ZBED1_expression  0.052829  0.015313  0.034071   \n",
       "GZF1-GZF1        GZF1_cnv    GZF1_expression  0.042655  0.027883  0.035269   \n",
       "ZNF703-ZNF703  ZNF703_cnv  ZNF703_expression  0.040671  0.021094  0.030882   \n",
       "...                   ...                ...       ...       ...       ...   \n",
       "ZNF625-ZNF625  ZNF625_cnv  ZNF625_expression       NaN  0.000530  0.000530   \n",
       "ZNF626-ZNF626  ZNF626_cnv  ZNF626_expression       NaN -0.000196 -0.000196   \n",
       "ZNF667-ZNF667  ZNF667_cnv  ZNF667_expression       NaN  0.000213  0.000213   \n",
       "ZNF683-ZNF683  ZNF683_cnv  ZNF683_expression       NaN -0.002407 -0.002407   \n",
       "ZNF831-ZNF831  ZNF831_cnv  ZNF831_expression       NaN  0.001420  0.001420   \n",
       "\n",
       "               abs_mean       var node1_type  node2_type node1_tf node2_tf  \\\n",
       "edge                                                                         \n",
       "BRF2-BRF2      0.046061  0.000200        cnv  expression     BRF2     BRF2   \n",
       "ZNF337-ZNF337  0.040524  0.000309        cnv  expression   ZNF337   ZNF337   \n",
       "ZBED1-ZBED1    0.034071  0.000704        cnv  expression    ZBED1    ZBED1   \n",
       "GZF1-GZF1      0.035269  0.000109        cnv  expression     GZF1     GZF1   \n",
       "ZNF703-ZNF703  0.030882  0.000192        cnv  expression   ZNF703   ZNF703   \n",
       "...                 ...       ...        ...         ...      ...      ...   \n",
       "ZNF625-ZNF625  0.000530       NaN        cnv  expression   ZNF625   ZNF625   \n",
       "ZNF626-ZNF626  0.000196       NaN        cnv  expression   ZNF626   ZNF626   \n",
       "ZNF667-ZNF667  0.000213       NaN        cnv  expression   ZNF667   ZNF667   \n",
       "ZNF683-ZNF683  0.002407       NaN        cnv  expression   ZNF683   ZNF683   \n",
       "ZNF831-ZNF831  0.001420       NaN        cnv  expression   ZNF831   ZNF831   \n",
       "\n",
       "               cms2_abs  cms4_abs  same       edge_type  same TF      TF  \\\n",
       "edge                                                                       \n",
       "BRF2-BRF2      0.056053  0.036068     1  cnv-expression     True    BRF2   \n",
       "ZNF337-ZNF337  0.052950  0.028097     1  cnv-expression     True  ZNF337   \n",
       "ZBED1-ZBED1    0.052829  0.015313     1  cnv-expression     True   ZBED1   \n",
       "GZF1-GZF1      0.042655  0.027883     1  cnv-expression     True    GZF1   \n",
       "ZNF703-ZNF703  0.040671  0.021094     1  cnv-expression     True  ZNF703   \n",
       "...                 ...       ...   ...             ...      ...     ...   \n",
       "ZNF625-ZNF625       NaN  0.000530     1  cnv-expression     True  ZNF625   \n",
       "ZNF626-ZNF626       NaN  0.000196     1  cnv-expression     True  ZNF626   \n",
       "ZNF667-ZNF667       NaN  0.000213     1  cnv-expression     True  ZNF667   \n",
       "ZNF683-ZNF683       NaN  0.002407     1  cnv-expression     True  ZNF683   \n",
       "ZNF831-ZNF831       NaN  0.001420     1  cnv-expression     True  ZNF831   \n",
       "\n",
       "               is_disgenet  is_driver  is_colon_driver  \n",
       "edge                                                    \n",
       "BRF2-BRF2                0          0                0  \n",
       "ZNF337-ZNF337            0          0                0  \n",
       "ZBED1-ZBED1              0          0                0  \n",
       "GZF1-GZF1                0          0                0  \n",
       "ZNF703-ZNF703            0          0                0  \n",
       "...                    ...        ...              ...  \n",
       "ZNF625-ZNF625            0          0                0  \n",
       "ZNF626-ZNF626            0          0                0  \n",
       "ZNF667-ZNF667            0          0                0  \n",
       "ZNF683-ZNF683            0          0                0  \n",
       "ZNF831-ZNF831            0          0                0  \n",
       "\n",
       "[1293 rows x 20 columns]"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dragon_trans_same.sort_values(by = 'cms2', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMAD4-SMAD4\n",
      "SMAD4\n",
      "0.0274666637403883\n",
      "0.0313527119640741\n",
      "---\n",
      "ZNF703-ZNF703\n",
      "ZNF703\n",
      "0.0406710505629657\n",
      "0.0210936115312876\n",
      "---\n",
      "IRF2-IRF2\n",
      "IRF2\n",
      "0.0219632150056907\n",
      "0.0196386199099001\n",
      "---\n",
      "GATA6-GATA6\n",
      "GATA6\n",
      "0.0252068790773463\n",
      "0.0157553477095939\n",
      "---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages/IPython/core/events.py:82: UserWarning: Creating legend with loc=\"best\" can be slow with large amounts of data.\n",
      "  func(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.set_context('paper', font_scale = 1.5)\n",
    "f, ax = plt.subplots(1,2, figsize = (10,4))\n",
    "sns.histplot(x = 'cms2', data = dragon_trans, hue = 'same TF', stat = 'density', common_norm  = False, kde = True, ax = ax[0])\n",
    "sns.histplot(x = 'cms4', data = dragon_trans, hue = 'same TF', stat = 'density', common_norm  = False, kde = True, ax = ax[1])\n",
    "plt.tight_layout()\n",
    "# annotate\n",
    "kkk = 0\n",
    "for k, tab in dragon_trans_same.sort_values(by = 'mean', ascending = False).loc[['SMAD4-SMAD4','ZNF703-ZNF703','IRF2-IRF2','GATA6-GATA6'],:].iterrows():\n",
    "    print(k)\n",
    "    print(tab.node1_tf)\n",
    "    print(tab.cms2)\n",
    "    print(tab.cms4)\n",
    "    ax[0].annotate(tab.node1_tf, xy = (tab.cms2, 0), xytext = (tab.cms2, 100+40*kkk), arrowprops=dict(arrowstyle=\"->\", lw=1))\n",
    "    ax[1].annotate(tab.node1_tf, xy = (tab.cms4, 0), xytext = (tab.cms4, 100+40*kkk), arrowprops=dict(arrowstyle=\"->\", lw=1))\n",
    "    kkk += 1\n",
    "    print('---')\n",
    "f.savefig(output_folder+'dragon_cnv_sametf_values_annotated.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DRAGON \"TRANS\": methylation to expression \n",
    "\n",
    "Here we start looking into the methylation to expression edges (and viceversa).\n",
    "\n",
    "- First we'll check the methylation to expression edges of the same node (TF1_methylation to TF1_expression)\n",
    "- Secondly we'll check the methylation to expression edges of different nodes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "edge",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "abs_mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "var",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "node1_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "same",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "edge_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2vscms4",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms2_th",
         "rawType": "bool",
         "type": "boolean"
        },
        {
         "name": "cms4_th",
         "rawType": "bool",
         "type": "boolean"
        },
        {
         "name": "new_edge",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "is_ppi",
         "rawType": "int64",
         "type": "integer"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "476a507b-2ddc-42ad-b44d-72fb2067bba6",
       "rows": [
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        [
         "AC008770.3-AEBP1",
         "AC008770.3_cnv",
         "AEBP1_expression",
         "0.0002868295215605",
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        ],
        [
         "AC008770.3-AEBP2",
         "AC008770.3_cnv",
         "AEBP2_expression",
         "-0.0018115050092053",
         "-0.0002141055174994",
         "-0.00101280526335235",
         "0.00101280526335235",
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         "False",
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        ],
        [
         "AC008770.3-AHCTF1",
         "AC008770.3_cnv",
         "AHCTF1_expression",
         "-0.000704448206972",
         "0.0006188891507972",
         "-4.2779528087399986e-05",
         "0.0006616686788846",
         "8.756108812337839e-07",
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         "False",
         "AC008770.3-AHCTF1",
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       ],
       "shape": {
        "columns": 20,
        "rows": 5
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>mean</th>\n",
       "      <th>abs_mean</th>\n",
       "      <th>var</th>\n",
       "      <th>node1_type</th>\n",
       "      <th>node2_type</th>\n",
       "      <th>node1_tf</th>\n",
       "      <th>node2_tf</th>\n",
       "      <th>cms2_abs</th>\n",
       "      <th>cms4_abs</th>\n",
       "      <th>same</th>\n",
       "      <th>edge_type</th>\n",
       "      <th>cms2vscms4</th>\n",
       "      <th>cms2_th</th>\n",
       "      <th>cms4_th</th>\n",
       "      <th>new_edge</th>\n",
       "      <th>is_ppi</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edge</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP2</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP2_expression</td>\n",
       "      <td>-0.000867</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.001092</td>\n",
       "      <td>2.385443e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP2</td>\n",
       "      <td>0.000867</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.002184</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>AC008770.3-ADNP2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP_expression</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>-0.000656</td>\n",
       "      <td>-0.000143</td>\n",
       "      <td>0.000513</td>\n",
       "      <td>5.257575e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>0.000656</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.001025</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>AC008770.3-ADNP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AEBP1</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP1_expression</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>-0.001124</td>\n",
       "      <td>-0.000419</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>9.952867e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>AEBP1</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>0.001124</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.001411</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>AC008770.3-AEBP1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AEBP2</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP2_expression</td>\n",
       "      <td>-0.001812</td>\n",
       "      <td>-0.000214</td>\n",
       "      <td>-0.001013</td>\n",
       "      <td>0.001013</td>\n",
       "      <td>1.275843e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>AEBP2</td>\n",
       "      <td>0.001812</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.001597</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>AC008770.3-AEBP2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AHCTF1</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AHCTF1_expression</td>\n",
       "      <td>-0.000704</td>\n",
       "      <td>0.000619</td>\n",
       "      <td>-0.000043</td>\n",
       "      <td>0.000662</td>\n",
       "      <td>8.756109e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>AHCTF1</td>\n",
       "      <td>0.000704</td>\n",
       "      <td>0.000619</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.001323</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>AC008770.3-AHCTF1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            node1              node2      cms2      cms4  \\\n",
       "edge                                                                       \n",
       "AC008770.3-ADNP2   AC008770.3_cnv   ADNP2_expression -0.000867  0.001317   \n",
       "AC008770.3-ADNP    AC008770.3_cnv    ADNP_expression  0.000369 -0.000656   \n",
       "AC008770.3-AEBP1   AC008770.3_cnv   AEBP1_expression  0.000287 -0.001124   \n",
       "AC008770.3-AEBP2   AC008770.3_cnv   AEBP2_expression -0.001812 -0.000214   \n",
       "AC008770.3-AHCTF1  AC008770.3_cnv  AHCTF1_expression -0.000704  0.000619   \n",
       "\n",
       "                       mean  abs_mean           var node1_type  node2_type  \\\n",
       "edge                                                                         \n",
       "AC008770.3-ADNP2   0.000225  0.001092  2.385443e-06        cnv  expression   \n",
       "AC008770.3-ADNP   -0.000143  0.000513  5.257575e-07        cnv  expression   \n",
       "AC008770.3-AEBP1  -0.000419  0.000705  9.952867e-07        cnv  expression   \n",
       "AC008770.3-AEBP2  -0.001013  0.001013  1.275843e-06        cnv  expression   \n",
       "AC008770.3-AHCTF1 -0.000043  0.000662  8.756109e-07        cnv  expression   \n",
       "\n",
       "                     node1_tf node2_tf  cms2_abs  cms4_abs  same  \\\n",
       "edge                                                               \n",
       "AC008770.3-ADNP2   AC008770.3    ADNP2  0.000867  0.001317     0   \n",
       "AC008770.3-ADNP    AC008770.3     ADNP  0.000369  0.000656     0   \n",
       "AC008770.3-AEBP1   AC008770.3    AEBP1  0.000287  0.001124     0   \n",
       "AC008770.3-AEBP2   AC008770.3    AEBP2  0.001812  0.000214     0   \n",
       "AC008770.3-AHCTF1  AC008770.3   AHCTF1  0.000704  0.000619     0   \n",
       "\n",
       "                        edge_type  cms2vscms4  cms2_th  cms4_th  \\\n",
       "edge                                                              \n",
       "AC008770.3-ADNP2   cnv-expression   -0.002184    False    False   \n",
       "AC008770.3-ADNP    cnv-expression    0.001025    False    False   \n",
       "AC008770.3-AEBP1   cnv-expression    0.001411    False    False   \n",
       "AC008770.3-AEBP2   cnv-expression   -0.001597    False    False   \n",
       "AC008770.3-AHCTF1  cnv-expression   -0.001323    False    False   \n",
       "\n",
       "                            new_edge  is_ppi  \n",
       "edge                                          \n",
       "AC008770.3-ADNP2    AC008770.3-ADNP2       0  \n",
       "AC008770.3-ADNP      AC008770.3-ADNP       0  \n",
       "AC008770.3-AEBP1    AC008770.3-AEBP1       0  \n",
       "AC008770.3-AEBP2    AC008770.3-AEBP2       0  \n",
       "AC008770.3-AHCTF1  AC008770.3-AHCTF1       0  "
      ]
     },
     "execution_count": 327,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get only methylation to expression edges\n",
    "dragon_trans = dragon[(dragon.node1_type!=dragon.node2_type)]\n",
    "dragon_trans.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((0, 20), (2102662, 20), (2102662, 20))"
      ]
     },
     "execution_count": 328,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check that the number of edges is correct\n",
    "dragon[(dragon.node2_type=='cnv') & (dragon.node1_type=='expression')].shape, dragon[(dragon.node1_type=='cnv') & (dragon.node2_type=='expression')].shape, dragon_trans.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Is the pattern the same?\n",
    "We now check if the above edges are correlated between different subtypes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.stats import pearsonr, spearmanr\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "def corrfunc(x, y, ax=None, **kws):\n",
    "    \"\"\"Plot the correlation coefficient in the top left hand corner of a plot.\"\"\"\n",
    "    r, _ = pearsonr(x, y)\n",
    "    ax = ax or plt.gca()\n",
    "    ax.annotate(f'ρ = {r:.2f}', xy=(.1, .9), xycoords=ax.transAxes)\n",
    "    \n",
    "sns.set_context('notebook', font_scale = 1)\n",
    "g = sns.pairplot(data = dragon_trans[dragon_trans['same']==1].loc[:,subtype_order].dropna(axis =0), corner = True)\n",
    "\n",
    "g.map_lower(corrfunc)\n",
    "g.fig.suptitle('Same TF cnv-expression edges')\n",
    "g.fig.savefig(output_folder+'dragon_same_tf_edges.pdf')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check which edges are different between cms2 and cms4\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "edge",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "abs_mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "var",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "node1_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "same",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "edge_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2vscms4",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "78bb0f9f-46de-416c-94c1-f30278a8372a",
       "rows": [
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         "cnv",
         "expression",
         "AC008770.3",
         "ADNP2",
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        ],
        [
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         "ADNP_cnv",
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        ],
        [
         "AC008770.3-ADNP",
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         "ADNP_expression",
         "0.0003693457789879",
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        [
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         "AEBP1_expression",
         "0.0002868295215605",
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        [
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         "AEBP2_expression",
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        [
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        [
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         "0.00016491799240119995"
        ],
        [
         "AC008770.3-AHRR",
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         "AHRR_expression",
         "0.0008111624795828",
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         "0.00015677027668010003",
         "0.0006543922029027",
         "8.564583104396971e-07",
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         "AHRR",
         "0.0008111624795828",
         "0.0004976219262226",
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         "0.0013087844058054"
        ],
        [
         "AC008770.3-AHR",
         "AC008770.3_cnv",
         "AHR_expression",
         "0.000422179425677",
         "-0.0005487074463921",
         "-6.326401035754999e-05",
         "0.00048544343603455",
         "4.7131065917806047e-07",
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         "AHR",
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         "0.0009708868720691"
        ],
        [
         "AC008770.3-AIRE",
         "AC008770.3_cnv",
         "AIRE_cnv",
         "0.0022712800574325",
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         "0.0010940781951175324",
         "0.0011772018623149674",
         "2.7716084492756545e-06",
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         "AIRE",
         "0.0022712800574325",
         "8.312366719743472e-05",
         "0",
         "cnv-cnv",
         "0.0023544037246299348"
        ],
        [
         "AC008770.3-AKAP8L",
         "AC008770.3_cnv",
         "AKAP8L_cnv",
         "0.0074648961503399",
         "0.0012153229811061",
         "0.004340109565723",
         "0.004340109565723",
         "1.95285823988035e-05",
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         "cnv",
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         "AKAP8L",
         "0.0074648961503399",
         "0.0012153229811061",
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         "cnv-cnv",
         "0.0062495731692338"
        ],
        [
         "AC008770.3-AKAP8L",
         "AC008770.3_cnv",
         "AKAP8L_expression",
         "0.0008437890245152",
         "-0.0006716913707483",
         "8.604882688345003e-05",
         "0.00075774019763175",
         "1.148340414214007e-06",
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         "AC008770.3",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>mean</th>\n",
       "      <th>abs_mean</th>\n",
       "      <th>var</th>\n",
       "      <th>node1_type</th>\n",
       "      <th>node2_type</th>\n",
       "      <th>node1_tf</th>\n",
       "      <th>node2_tf</th>\n",
       "      <th>cms2_abs</th>\n",
       "      <th>cms4_abs</th>\n",
       "      <th>same</th>\n",
       "      <th>edge_type</th>\n",
       "      <th>cms2vscms4</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edge</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP2</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP2_expression</td>\n",
       "      <td>-0.000867</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.001092</td>\n",
       "      <td>2.385443e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP2</td>\n",
       "      <td>0.000867</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.002184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP_cnv</td>\n",
       "      <td>0.000643</td>\n",
       "      <td>0.000043</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>1.797459e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>cnv</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP</td>\n",
       "      <td>0.000643</td>\n",
       "      <td>0.000043</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-cnv</td>\n",
       "      <td>0.000600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP_expression</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>-0.000656</td>\n",
       "      <td>-0.000143</td>\n",
       "      <td>0.000513</td>\n",
       "      <td>5.257575e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>0.000656</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.001025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AEBP1</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP1_expression</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>-0.001124</td>\n",
       "      <td>-0.000419</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>9.952867e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>AEBP1</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>0.001124</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.001411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AEBP2</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP2_expression</td>\n",
       "      <td>-0.001812</td>\n",
       "      <td>-0.000214</td>\n",
       "      <td>-0.001013</td>\n",
       "      <td>0.001013</td>\n",
       "      <td>1.275843e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>AEBP2</td>\n",
       "      <td>0.001812</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.001597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZSCAN5A</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZSCAN5A_expression</td>\n",
       "      <td>-0.001190</td>\n",
       "      <td>0.002365</td>\n",
       "      <td>0.000588</td>\n",
       "      <td>0.001778</td>\n",
       "      <td>6.321812e-06</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZSCAN5A</td>\n",
       "      <td>0.001190</td>\n",
       "      <td>0.002365</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.003556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZSCAN9</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZSCAN9_expression</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.001843</td>\n",
       "      <td>0.001278</td>\n",
       "      <td>0.001278</td>\n",
       "      <td>6.372003e-07</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZSCAN9</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.001843</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.001129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZXDA</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZXDA_expression</td>\n",
       "      <td>0.001551</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0.002120</td>\n",
       "      <td>0.002120</td>\n",
       "      <td>6.481347e-07</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZXDA</td>\n",
       "      <td>0.001551</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.001139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZXDB</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZXDB_expression</td>\n",
       "      <td>0.002013</td>\n",
       "      <td>0.001942</td>\n",
       "      <td>0.001978</td>\n",
       "      <td>0.001978</td>\n",
       "      <td>2.507604e-09</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZXDB</td>\n",
       "      <td>0.002013</td>\n",
       "      <td>0.001942</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>0.000071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZXDC</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZXDC_expression</td>\n",
       "      <td>-0.000425</td>\n",
       "      <td>0.001952</td>\n",
       "      <td>0.000763</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>2.825171e-06</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZXDC</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.001952</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.002377</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4258425 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            node1               node2      cms2      cms4  \\\n",
       "edge                                                                        \n",
       "AC008770.3-ADNP2   AC008770.3_cnv    ADNP2_expression -0.000867  0.001317   \n",
       "AC008770.3-ADNP    AC008770.3_cnv            ADNP_cnv  0.000643  0.000043   \n",
       "AC008770.3-ADNP    AC008770.3_cnv     ADNP_expression  0.000369 -0.000656   \n",
       "AC008770.3-AEBP1   AC008770.3_cnv    AEBP1_expression  0.000287 -0.001124   \n",
       "AC008770.3-AEBP2   AC008770.3_cnv    AEBP2_expression -0.001812 -0.000214   \n",
       "...                           ...                 ...       ...       ...   \n",
       "ZZZ3-ZSCAN5A      ZZZ3_expression  ZSCAN5A_expression -0.001190  0.002365   \n",
       "ZZZ3-ZSCAN9       ZZZ3_expression   ZSCAN9_expression  0.000714  0.001843   \n",
       "ZZZ3-ZXDA         ZZZ3_expression     ZXDA_expression  0.001551  0.002689   \n",
       "ZZZ3-ZXDB         ZZZ3_expression     ZXDB_expression  0.002013  0.001942   \n",
       "ZZZ3-ZXDC         ZZZ3_expression     ZXDC_expression -0.000425  0.001952   \n",
       "\n",
       "                      mean  abs_mean           var  node1_type  node2_type  \\\n",
       "edge                                                                         \n",
       "AC008770.3-ADNP2  0.000225  0.001092  2.385443e-06         cnv  expression   \n",
       "AC008770.3-ADNP   0.000343  0.000343  1.797459e-07         cnv         cnv   \n",
       "AC008770.3-ADNP  -0.000143  0.000513  5.257575e-07         cnv  expression   \n",
       "AC008770.3-AEBP1 -0.000419  0.000705  9.952867e-07         cnv  expression   \n",
       "AC008770.3-AEBP2 -0.001013  0.001013  1.275843e-06         cnv  expression   \n",
       "...                    ...       ...           ...         ...         ...   \n",
       "ZZZ3-ZSCAN5A      0.000588  0.001778  6.321812e-06  expression  expression   \n",
       "ZZZ3-ZSCAN9       0.001278  0.001278  6.372003e-07  expression  expression   \n",
       "ZZZ3-ZXDA         0.002120  0.002120  6.481347e-07  expression  expression   \n",
       "ZZZ3-ZXDB         0.001978  0.001978  2.507604e-09  expression  expression   \n",
       "ZZZ3-ZXDC         0.000763  0.001189  2.825171e-06  expression  expression   \n",
       "\n",
       "                    node1_tf node2_tf  cms2_abs  cms4_abs  same  \\\n",
       "edge                                                              \n",
       "AC008770.3-ADNP2  AC008770.3    ADNP2  0.000867  0.001317     0   \n",
       "AC008770.3-ADNP   AC008770.3     ADNP  0.000643  0.000043     0   \n",
       "AC008770.3-ADNP   AC008770.3     ADNP  0.000369  0.000656     0   \n",
       "AC008770.3-AEBP1  AC008770.3    AEBP1  0.000287  0.001124     0   \n",
       "AC008770.3-AEBP2  AC008770.3    AEBP2  0.001812  0.000214     0   \n",
       "...                      ...      ...       ...       ...   ...   \n",
       "ZZZ3-ZSCAN5A            ZZZ3  ZSCAN5A  0.001190  0.002365     0   \n",
       "ZZZ3-ZSCAN9             ZZZ3   ZSCAN9  0.000714  0.001843     0   \n",
       "ZZZ3-ZXDA               ZZZ3     ZXDA  0.001551  0.002689     0   \n",
       "ZZZ3-ZXDB               ZZZ3     ZXDB  0.002013  0.001942     0   \n",
       "ZZZ3-ZXDC               ZZZ3     ZXDC  0.000425  0.001952     0   \n",
       "\n",
       "                              edge_type  cms2vscms4  \n",
       "edge                                                 \n",
       "AC008770.3-ADNP2         cnv-expression   -0.002184  \n",
       "AC008770.3-ADNP                 cnv-cnv    0.000600  \n",
       "AC008770.3-ADNP          cnv-expression    0.001025  \n",
       "AC008770.3-AEBP1         cnv-expression    0.001411  \n",
       "AC008770.3-AEBP2         cnv-expression   -0.001597  \n",
       "...                                 ...         ...  \n",
       "ZZZ3-ZSCAN5A      expression-expression   -0.003556  \n",
       "ZZZ3-ZSCAN9       expression-expression   -0.001129  \n",
       "ZZZ3-ZXDA         expression-expression   -0.001139  \n",
       "ZZZ3-ZXDB         expression-expression    0.000071  \n",
       "ZZZ3-ZXDC         expression-expression   -0.002377  \n",
       "\n",
       "[4258425 rows x 16 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dragon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='edge_type', ylabel='cms2vscms4'>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dragon['cms2vscms4'] = dragon.cms2 - dragon.cms4\n",
    "sns.violinplot(data = dragon.reset_index(), y = 'cms2vscms4', x = 'edge_type')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CNV to expression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/2099831500.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dragon_cnv_expression.dropna(inplace = True)\n"
     ]
    }
   ],
   "source": [
    "dragon_cnv_expression = dragon[(dragon.node1_type=='cnv') & (dragon.node2_type=='expression')]\n",
    "dragon_cnv_expression.dropna(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(1250)"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_expression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/1726941688.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dragon_cnv_expression['cms2_th'] = (dragon_cnv_expression.cms2>cms2_th)\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/1726941688.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dragon_cnv_expression['cms4_th'] = (dragon_cnv_expression.cms4>cms4_th)\n"
     ]
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "edge",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "abs_mean",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "var",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "node1_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node1_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "node2_tf",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4_abs",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "same",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "edge_type",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "cms2vscms4",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms2_th",
         "rawType": "bool",
         "type": "boolean"
        },
        {
         "name": "cms4_th",
         "rawType": "bool",
         "type": "boolean"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "daaeae74-7c86-4215-8342-312857394076",
       "rows": [
        [
         "ZMAT4-FOXD1",
         "ZMAT4_cnv",
         "FOXD1_expression",
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         "0.0418740353917988",
         "True",
         "False"
        ],
        [
         "ZMAT4-ZNF256",
         "ZMAT4_cnv",
         "ZNF256_expression",
         "0.0294057036150333",
         "-0.0105362283224882",
         "0.009434737646272551",
         "0.01997096596876075",
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         "cnv-expression",
         "0.0399419319375215",
         "True",
         "False"
        ],
        [
         "ZMAT4-ZFP82",
         "ZMAT4_cnv",
         "ZFP82_expression",
         "0.0130231787450542",
         "-0.0259816478059371",
         "-0.006479234530441449",
         "0.01950241327549565",
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         "cnv-expression",
         "0.0390048265509913",
         "False",
         "False"
        ],
        [
         "GSC2-ZNF701",
         "GSC2_cnv",
         "ZNF701_expression",
         "0.0344129219610108",
         "-0.0044451280861261",
         "0.01498389693744235",
         "0.01942902502356845",
         "0.0007549740267328978",
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         "expression",
         "GSC2",
         "ZNF701",
         "0.0344129219610108",
         "0.0044451280861261",
         "0",
         "cnv-expression",
         "0.0388580500471369",
         "True",
         "False"
        ],
        [
         "ZBED1-ZBED1",
         "ZBED1_cnv",
         "ZBED1_expression",
         "0.0528285143846182",
         "0.0153129777827016",
         "0.0340707460836599",
         "0.0340707460836599",
         "0.000703707743264872",
         "cnv",
         "expression",
         "ZBED1",
         "ZBED1",
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         "0.0153129777827016",
         "1",
         "cnv-expression",
         "0.0375155366019166",
         "True",
         "True"
        ],
        [
         "ZNF703-ZNF677",
         "ZNF703_cnv",
         "ZNF677_expression",
         "0.0258435428353085",
         "-0.0110749545524422",
         "0.00738429414143315",
         "0.01845924869387535",
         "0.0006814877246846777",
         "cnv",
         "expression",
         "ZNF703",
         "ZNF677",
         "0.0258435428353085",
         "0.0110749545524422",
         "0",
         "cnv-expression",
         "0.0369184973877507",
         "True",
         "False"
        ],
        [
         "BRF2-ELF5",
         "BRF2_cnv",
         "ELF5_expression",
         "0.0189603516781637",
         "-0.0149982647370831",
         "0.0019810434705402995",
         "0.0169793082076234",
         "0.0005765938144189347",
         "cnv",
         "expression",
         "BRF2",
         "ELF5",
         "0.0189603516781637",
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         "False"
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        [
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         "ZNF703_cnv",
         "PLAGL1_expression",
         "0.0204940620279139",
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         "0.01328564177205925",
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         "cnv",
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         "ZNF703",
         "PLAGL1",
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         "0",
         "cnv-expression",
         "0.0265712835441185",
         "True",
         "False"
        ],
        [
         "NKX6.3-FEZF1",
         "NKX6.3_cnv",
         "FEZF1_expression",
         "0.0189320502015543",
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         "0.0056547507592343005",
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         "cnv",
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         "NKX6.3",
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         "0.0189320502015543",
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         "0",
         "cnv-expression",
         "0.02655459888464",
         "False",
         "False"
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        [
         "TCF7L2-HOXA7",
         "TCF7L2_cnv",
         "HOXA7_expression",
         "0.022764530201245",
         "-0.003708929738928",
         "0.009527800231158502",
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         "0.00035042204060197233",
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         "0.026473459940173",
         "True",
         "False"
        ],
        [
         "BRF2-ZNF662",
         "BRF2_cnv",
         "ZNF662_expression",
         "0.0078464127730727",
         "-0.018461694221957",
         "-0.005307640724442149",
         "0.01315405349751485",
         "0.0003460582468309653",
         "cnv",
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         "BRF2",
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         "cnv-expression",
         "0.0263081069950297",
         "False",
         "False"
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       ],
       "shape": {
        "columns": 18,
        "rows": 2017389
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>mean</th>\n",
       "      <th>abs_mean</th>\n",
       "      <th>var</th>\n",
       "      <th>node1_type</th>\n",
       "      <th>node2_type</th>\n",
       "      <th>node1_tf</th>\n",
       "      <th>node2_tf</th>\n",
       "      <th>cms2_abs</th>\n",
       "      <th>cms4_abs</th>\n",
       "      <th>same</th>\n",
       "      <th>edge_type</th>\n",
       "      <th>cms2vscms4</th>\n",
       "      <th>cms2_th</th>\n",
       "      <th>cms4_th</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edge</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ZMAT4-FOXD1</th>\n",
       "      <td>ZMAT4_cnv</td>\n",
       "      <td>FOXD1_expression</td>\n",
       "      <td>0.030211</td>\n",
       "      <td>-0.011663</td>\n",
       "      <td>0.009274</td>\n",
       "      <td>0.020937</td>\n",
       "      <td>0.000877</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZMAT4</td>\n",
       "      <td>FOXD1</td>\n",
       "      <td>0.030211</td>\n",
       "      <td>0.011663</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.041874</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZMAT4-ZNF256</th>\n",
       "      <td>ZMAT4_cnv</td>\n",
       "      <td>ZNF256_expression</td>\n",
       "      <td>0.029406</td>\n",
       "      <td>-0.010536</td>\n",
       "      <td>0.009435</td>\n",
       "      <td>0.019971</td>\n",
       "      <td>0.000798</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZMAT4</td>\n",
       "      <td>ZNF256</td>\n",
       "      <td>0.029406</td>\n",
       "      <td>0.010536</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.039942</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZMAT4-ZFP82</th>\n",
       "      <td>ZMAT4_cnv</td>\n",
       "      <td>ZFP82_expression</td>\n",
       "      <td>0.013023</td>\n",
       "      <td>-0.025982</td>\n",
       "      <td>-0.006479</td>\n",
       "      <td>0.019502</td>\n",
       "      <td>0.000761</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZMAT4</td>\n",
       "      <td>ZFP82</td>\n",
       "      <td>0.013023</td>\n",
       "      <td>0.025982</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.039005</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GSC2-ZNF701</th>\n",
       "      <td>GSC2_cnv</td>\n",
       "      <td>ZNF701_expression</td>\n",
       "      <td>0.034413</td>\n",
       "      <td>-0.004445</td>\n",
       "      <td>0.014984</td>\n",
       "      <td>0.019429</td>\n",
       "      <td>0.000755</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>GSC2</td>\n",
       "      <td>ZNF701</td>\n",
       "      <td>0.034413</td>\n",
       "      <td>0.004445</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.038858</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZBED1-ZBED1</th>\n",
       "      <td>ZBED1_cnv</td>\n",
       "      <td>ZBED1_expression</td>\n",
       "      <td>0.052829</td>\n",
       "      <td>0.015313</td>\n",
       "      <td>0.034071</td>\n",
       "      <td>0.034071</td>\n",
       "      <td>0.000704</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZBED1</td>\n",
       "      <td>ZBED1</td>\n",
       "      <td>0.052829</td>\n",
       "      <td>0.015313</td>\n",
       "      <td>1</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.037516</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FOXN1-FOXD1</th>\n",
       "      <td>FOXN1_cnv</td>\n",
       "      <td>FOXD1_expression</td>\n",
       "      <td>-0.022987</td>\n",
       "      <td>0.011144</td>\n",
       "      <td>-0.005922</td>\n",
       "      <td>0.017065</td>\n",
       "      <td>0.000582</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>FOXN1</td>\n",
       "      <td>FOXD1</td>\n",
       "      <td>0.022987</td>\n",
       "      <td>0.011144</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.034131</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEBOX-FOXD1</th>\n",
       "      <td>SEBOX_cnv</td>\n",
       "      <td>FOXD1_expression</td>\n",
       "      <td>-0.022987</td>\n",
       "      <td>0.011144</td>\n",
       "      <td>-0.005922</td>\n",
       "      <td>0.017065</td>\n",
       "      <td>0.000582</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>SEBOX</td>\n",
       "      <td>FOXD1</td>\n",
       "      <td>0.022987</td>\n",
       "      <td>0.011144</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.034131</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZMAT4-TBX19</th>\n",
       "      <td>ZMAT4_cnv</td>\n",
       "      <td>TBX19_expression</td>\n",
       "      <td>-0.022839</td>\n",
       "      <td>0.012317</td>\n",
       "      <td>-0.005261</td>\n",
       "      <td>0.017578</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZMAT4</td>\n",
       "      <td>TBX19</td>\n",
       "      <td>0.022839</td>\n",
       "      <td>0.012317</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.035156</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZMAT4-PAX6</th>\n",
       "      <td>ZMAT4_cnv</td>\n",
       "      <td>PAX6_expression</td>\n",
       "      <td>-0.019852</td>\n",
       "      <td>0.018271</td>\n",
       "      <td>-0.000791</td>\n",
       "      <td>0.019061</td>\n",
       "      <td>0.000727</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZMAT4</td>\n",
       "      <td>PAX6</td>\n",
       "      <td>0.019852</td>\n",
       "      <td>0.018271</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.038123</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZMAT4-PAX8</th>\n",
       "      <td>ZMAT4_cnv</td>\n",
       "      <td>PAX8_expression</td>\n",
       "      <td>-0.030135</td>\n",
       "      <td>0.019944</td>\n",
       "      <td>-0.005095</td>\n",
       "      <td>0.025039</td>\n",
       "      <td>0.001254</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZMAT4</td>\n",
       "      <td>PAX8</td>\n",
       "      <td>0.030135</td>\n",
       "      <td>0.019944</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.050079</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2017389 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  node1              node2      cms2      cms4      mean  \\\n",
       "edge                                                                       \n",
       "ZMAT4-FOXD1   ZMAT4_cnv   FOXD1_expression  0.030211 -0.011663  0.009274   \n",
       "ZMAT4-ZNF256  ZMAT4_cnv  ZNF256_expression  0.029406 -0.010536  0.009435   \n",
       "ZMAT4-ZFP82   ZMAT4_cnv   ZFP82_expression  0.013023 -0.025982 -0.006479   \n",
       "GSC2-ZNF701    GSC2_cnv  ZNF701_expression  0.034413 -0.004445  0.014984   \n",
       "ZBED1-ZBED1   ZBED1_cnv   ZBED1_expression  0.052829  0.015313  0.034071   \n",
       "...                 ...                ...       ...       ...       ...   \n",
       "FOXN1-FOXD1   FOXN1_cnv   FOXD1_expression -0.022987  0.011144 -0.005922   \n",
       "SEBOX-FOXD1   SEBOX_cnv   FOXD1_expression -0.022987  0.011144 -0.005922   \n",
       "ZMAT4-TBX19   ZMAT4_cnv   TBX19_expression -0.022839  0.012317 -0.005261   \n",
       "ZMAT4-PAX6    ZMAT4_cnv    PAX6_expression -0.019852  0.018271 -0.000791   \n",
       "ZMAT4-PAX8    ZMAT4_cnv    PAX8_expression -0.030135  0.019944 -0.005095   \n",
       "\n",
       "              abs_mean       var node1_type  node2_type node1_tf node2_tf  \\\n",
       "edge                                                                        \n",
       "ZMAT4-FOXD1   0.020937  0.000877        cnv  expression    ZMAT4    FOXD1   \n",
       "ZMAT4-ZNF256  0.019971  0.000798        cnv  expression    ZMAT4   ZNF256   \n",
       "ZMAT4-ZFP82   0.019502  0.000761        cnv  expression    ZMAT4    ZFP82   \n",
       "GSC2-ZNF701   0.019429  0.000755        cnv  expression     GSC2   ZNF701   \n",
       "ZBED1-ZBED1   0.034071  0.000704        cnv  expression    ZBED1    ZBED1   \n",
       "...                ...       ...        ...         ...      ...      ...   \n",
       "FOXN1-FOXD1   0.017065  0.000582        cnv  expression    FOXN1    FOXD1   \n",
       "SEBOX-FOXD1   0.017065  0.000582        cnv  expression    SEBOX    FOXD1   \n",
       "ZMAT4-TBX19   0.017578  0.000618        cnv  expression    ZMAT4    TBX19   \n",
       "ZMAT4-PAX6    0.019061  0.000727        cnv  expression    ZMAT4     PAX6   \n",
       "ZMAT4-PAX8    0.025039  0.001254        cnv  expression    ZMAT4     PAX8   \n",
       "\n",
       "              cms2_abs  cms4_abs  same       edge_type  cms2vscms4  cms2_th  \\\n",
       "edge                                                                          \n",
       "ZMAT4-FOXD1   0.030211  0.011663     0  cnv-expression    0.041874     True   \n",
       "ZMAT4-ZNF256  0.029406  0.010536     0  cnv-expression    0.039942     True   \n",
       "ZMAT4-ZFP82   0.013023  0.025982     0  cnv-expression    0.039005    False   \n",
       "GSC2-ZNF701   0.034413  0.004445     0  cnv-expression    0.038858     True   \n",
       "ZBED1-ZBED1   0.052829  0.015313     1  cnv-expression    0.037516     True   \n",
       "...                ...       ...   ...             ...         ...      ...   \n",
       "FOXN1-FOXD1   0.022987  0.011144     0  cnv-expression   -0.034131    False   \n",
       "SEBOX-FOXD1   0.022987  0.011144     0  cnv-expression   -0.034131    False   \n",
       "ZMAT4-TBX19   0.022839  0.012317     0  cnv-expression   -0.035156    False   \n",
       "ZMAT4-PAX6    0.019852  0.018271     0  cnv-expression   -0.038123    False   \n",
       "ZMAT4-PAX8    0.030135  0.019944     0  cnv-expression   -0.050079    False   \n",
       "\n",
       "              cms4_th  \n",
       "edge                   \n",
       "ZMAT4-FOXD1     False  \n",
       "ZMAT4-ZNF256    False  \n",
       "ZMAT4-ZFP82     False  \n",
       "GSC2-ZNF701     False  \n",
       "ZBED1-ZBED1      True  \n",
       "...               ...  \n",
       "FOXN1-FOXD1     False  \n",
       "SEBOX-FOXD1     False  \n",
       "ZMAT4-TBX19     False  \n",
       "ZMAT4-PAX6       True  \n",
       "ZMAT4-PAX8       True  \n",
       "\n",
       "[2017389 rows x 18 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cms2_th = np.percentile(dragon_cnv_expression.cms2.dropna(), 99.99)\n",
    "cms4_th = np.percentile(dragon_cnv_expression.cms4.dropna(), 99.99)\n",
    "dragon_cnv_expression['cms2_th'] = (dragon_cnv_expression.cms2>cms2_th)\n",
    "dragon_cnv_expression['cms4_th'] = (dragon_cnv_expression.cms4>cms4_th)\n",
    "dragon_cnv_expression.sort_values(by = 'cms2vscms4', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
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        {
         "name": "index",
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        {
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         "type": "string"
        },
        {
         "name": "stat",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "pval",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "test",
         "rawType": "object",
         "type": "string"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "dcee2163-90ad-4f4c-9ff8-555a9cd2fd1b",
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        [
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        [
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         "AEBP1_cnv",
         "311217.0",
         "2.631846506047607e-09",
         "wilkoxon"
        ],
        [
         "7",
         "AEBP2_cnv",
         "288493.0",
         "9.318320563103528e-15",
         "wilkoxon"
        ],
        [
         "8",
         "AHCTF1_cnv",
         "311248.0",
         "2.671533149083621e-09",
         "wilkoxon"
        ],
        [
         "9",
         "AHDC1_cnv",
         "365124.0",
         "0.09017960905201994",
         "wilkoxon"
        ],
        [
         "10",
         "AHRR_cnv",
         "338579.0",
         "0.00014975141218484517",
         "wilkoxon"
        ],
        [
         "11",
         "AHR_cnv",
         "377769.0",
         "0.4867371220033153",
         "wilkoxon"
        ],
        [
         "12",
         "AIRE_cnv",
         "357244.0",
         "0.020505709379760952",
         "wilkoxon"
        ],
        [
         "13",
         "AKAP8L_cnv",
         "335375.0",
         "5.241379970147891e-05",
         "wilkoxon"
        ],
        [
         "14",
         "AKAP8_cnv",
         "335375.0",
         "5.241379970147891e-05",
         "wilkoxon"
        ],
        [
         "15",
         "AKNA_cnv",
         "263195.0",
         "1.9047377090641546e-22",
         "wilkoxon"
        ],
        [
         "16",
         "ALX1_cnv",
         "351755.0",
         "0.0059488122507293795",
         "wilkoxon"
        ],
        [
         "17",
         "ALX3_cnv",
         "369988.0",
         "0.19012833422272768",
         "wilkoxon"
        ],
        [
         "18",
         "ALX4_cnv",
         "383903.0",
         "0.8329438336412048",
         "wilkoxon"
        ],
        [
         "19",
         "ANKZF1_cnv",
         "317614.0",
         "5.102624169468504e-08",
         "wilkoxon"
        ],
        [
         "20",
         "ARGFX_cnv",
         "334328.0",
         "3.67037263127915e-05",
         "wilkoxon"
        ],
        [
         "21",
         "ARHGAP35_cnv",
         "371785.0",
         "0.24271068210474944",
         "wilkoxon"
        ],
        [
         "22",
         "ARID2_cnv",
         "341892.0",
         "0.00041594086911433395",
         "wilkoxon"
        ],
        [
         "23",
         "ARID3A_cnv",
         "281093.0",
         "7.893792645045419e-17",
         "wilkoxon"
        ],
        [
         "24",
         "ARID3B_cnv",
         "345235.0",
         "0.0010920793253181079",
         "wilkoxon"
        ],
        [
         "25",
         "ARID3C_cnv",
         "293558.0",
         "2.0104645973125452e-13",
         "wilkoxon"
        ],
        [
         "26",
         "ARID5A_cnv",
         "331833.0",
         "1.52941289450047e-05",
         "wilkoxon"
        ],
        [
         "27",
         "ARID5B_cnv",
         "366783.0",
         "0.11796052000703494",
         "wilkoxon"
        ],
        [
         "28",
         "ARNT2_cnv",
         "345130.0",
         "0.0010605221508565529",
         "wilkoxon"
        ],
        [
         "29",
         "ARNTL2_cnv",
         "367586.0",
         "0.13362597533061907",
         "wilkoxon"
        ],
        [
         "30",
         "ARNTL_cnv",
         "377528.0",
         "0.47488926385908536",
         "wilkoxon"
        ],
        [
         "31",
         "ARNT_cnv",
         "324437.0",
         "9.168857053171604e-07",
         "wilkoxon"
        ],
        [
         "32",
         "ARX_cnv",
         "339302.0",
         "0.0001881894064768267",
         "wilkoxon"
        ],
        [
         "33",
         "AR_cnv",
         "367183.0",
         "0.125573783235248",
         "wilkoxon"
        ],
        [
         "34",
         "ASCL1_cnv",
         "348199.0",
         "0.0024333363640846256",
         "wilkoxon"
        ],
        [
         "35",
         "ASCL2_cnv",
         "380704.0",
         "0.6429017237548",
         "wilkoxon"
        ],
        [
         "36",
         "ASCL3_cnv",
         "372804.0",
         "0.27671070650927665",
         "wilkoxon"
        ],
        [
         "37",
         "ASCL4_cnv",
         "334067.0",
         "3.3550208405558174e-05",
         "wilkoxon"
        ],
        [
         "38",
         "ASCL5_cnv",
         "360095.0",
         "0.03646201727920692",
         "wilkoxon"
        ],
        [
         "39",
         "ASH1L_cnv",
         "355598.0",
         "0.014405237166879832",
         "wilkoxon"
        ],
        [
         "40",
         "ATF1_cnv",
         "323737.0",
         "6.906109960923167e-07",
         "wilkoxon"
        ],
        [
         "41",
         "ATF2_cnv",
         "376628.0",
         "0.4320750584180266",
         "wilkoxon"
        ],
        [
         "42",
         "ATF3_cnv",
         "336777.0",
         "8.360026315687934e-05",
         "wilkoxon"
        ],
        [
         "43",
         "ATF4_cnv",
         "360341.0",
         "0.038237138720898574",
         "wilkoxon"
        ],
        [
         "44",
         "ATF5_cnv",
         "372054.0",
         "0.25138679364964434",
         "wilkoxon"
        ],
        [
         "45",
         "ATF6B_cnv",
         "380582.0",
         "0.6360109872327341",
         "wilkoxon"
        ],
        [
         "46",
         "ATF6_cnv",
         "343922.0",
         "0.0007533494610452773",
         "wilkoxon"
        ],
        [
         "47",
         "ATF7_cnv",
         "370277.0",
         "0.19796576323474946",
         "wilkoxon"
        ],
        [
         "48",
         "ATMIN_cnv",
         "381973.0",
         "0.7163093001212135",
         "wilkoxon"
        ],
        [
         "49",
         "ATOH1_cnv",
         "379085.0",
         "0.5541552933867508",
         "wilkoxon"
        ]
       ],
       "shape": {
        "columns": 4,
        "rows": 1623
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>stat</th>\n",
       "      <th>pval</th>\n",
       "      <th>test</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>359864.0</td>\n",
       "      <td>3.485955e-02</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AC023509.3_cnv</td>\n",
       "      <td>370277.0</td>\n",
       "      <td>1.979658e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AC092835.1_cnv</td>\n",
       "      <td>362104.0</td>\n",
       "      <td>5.323272e-02</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AC138696.1_cnv</td>\n",
       "      <td>379089.0</td>\n",
       "      <td>5.543670e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ADNP2_cnv</td>\n",
       "      <td>385499.0</td>\n",
       "      <td>9.323846e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1618</th>\n",
       "      <td>ZSCAN9_cnv</td>\n",
       "      <td>328939.0</td>\n",
       "      <td>5.287814e-06</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1619</th>\n",
       "      <td>ZXDA_cnv</td>\n",
       "      <td>301717.0</td>\n",
       "      <td>2.034230e-11</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1620</th>\n",
       "      <td>ZXDB_cnv</td>\n",
       "      <td>301717.0</td>\n",
       "      <td>2.034230e-11</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1621</th>\n",
       "      <td>ZXDC_cnv</td>\n",
       "      <td>334328.0</td>\n",
       "      <td>3.670373e-05</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1622</th>\n",
       "      <td>ZZZ3_cnv</td>\n",
       "      <td>380329.0</td>\n",
       "      <td>6.218217e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1623 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               node1      stat          pval      test\n",
       "0     AC008770.3_cnv  359864.0  3.485955e-02  wilkoxon\n",
       "1     AC023509.3_cnv  370277.0  1.979658e-01  wilkoxon\n",
       "2     AC092835.1_cnv  362104.0  5.323272e-02  wilkoxon\n",
       "3     AC138696.1_cnv  379089.0  5.543670e-01  wilkoxon\n",
       "4          ADNP2_cnv  385499.0  9.323846e-01  wilkoxon\n",
       "...              ...       ...           ...       ...\n",
       "1618      ZSCAN9_cnv  328939.0  5.287814e-06  wilkoxon\n",
       "1619        ZXDA_cnv  301717.0  2.034230e-11  wilkoxon\n",
       "1620        ZXDB_cnv  301717.0  2.034230e-11  wilkoxon\n",
       "1621        ZXDC_cnv  334328.0  3.670373e-05  wilkoxon\n",
       "1622        ZZZ3_cnv  380329.0  6.218217e-01  wilkoxon\n",
       "\n",
       "[1623 rows x 4 columns]"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.stats import wilcoxon\n",
    "test_cnv = pd.DataFrame()\n",
    "kkk = 0\n",
    "for n1 in dragon_cnv_expression.node1.unique():\n",
    "    ttt = dragon_cnv_expression[dragon_cnv_expression['node1']==n1].sort_values(by = 'cms2vscms4', ascending = False)\n",
    "    #s,p = stats.spearmanr(ttt.cms2, ttt.cms4)\n",
    "\n",
    "    # Perform the Wilcoxon signed-rank test\n",
    "    s, p = wilcoxon(ttt.cms2, ttt.cms4)\n",
    "    test_cnv = pd.concat([test_cnv, pd.DataFrame(data = {'node1': [n1], 'stat': [s], 'pval': [p],'test':'wilkoxon'})], ignore_index = True)\n",
    "    #kkk += 1\n",
    "    #if kkk>10:\n",
    "    #    break\n",
    "    \n",
    "test_cnv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
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         "SALL1",
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         "0",
         "5.284556717788877e-23",
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         "NFIC_cnv",
         "256206.0",
         "7.1292610749352345e-25",
         "wilkoxon",
         "NFIC",
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         "257698.0",
         "2.410586712955725e-24",
         "wilkoxon",
         "ZBTB7A",
         "0",
         "0",
         "0",
         "2.4452388969544635e-22",
         "True"
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        [
         "115",
         "CREB3L3_cnv",
         "257698.0",
         "2.410586712955725e-24",
         "wilkoxon",
         "CREB3L3",
         "0",
         "0",
         "0",
         "2.4452388969544635e-22",
         "True"
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         "ZNF883.1_cnv",
         "263195.0",
         "1.9047377090641546e-22",
         "wilkoxon",
         "ZNF883.1",
         "0",
         "0",
         "0",
         "1.5456946509055616e-20",
         "True"
        ],
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         "15",
         "AKNA_cnv",
         "263195.0",
         "1.9047377090641546e-22",
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         "0",
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         "1423",
         "ZNF618_cnv",
         "263195.0",
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         "wilkoxon",
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         "BACH2_cnv",
         "266964.0",
         "3.420842119292526e-21",
         "wilkoxon",
         "BACH2",
         "0",
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         "True"
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         "True"
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         "271147.0",
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       "      <th>node1</th>\n",
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       "      <td>8.586307e-28</td>\n",
       "      <td>wilkoxon</td>\n",
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       "      <td>ZNF556_cnv</td>\n",
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       "      <td>ZNF556</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <th>942</th>\n",
       "      <td>THAP12_cnv</td>\n",
       "      <td>386219.0</td>\n",
       "      <td>9.776895e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>THAP12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.801051e-01</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>BCL6_cnv</td>\n",
       "      <td>386549.0</td>\n",
       "      <td>9.984872e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>BCL6</td>\n",
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       "    <tr>\n",
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       "      <td>9.989285e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZBTB22</td>\n",
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       "      <td>9.989285e-01</td>\n",
       "      <td>False</td>\n",
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       "      <td>ZBTB9_cnv</td>\n",
       "      <td>386556.0</td>\n",
       "      <td>9.989285e-01</td>\n",
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       "      <td>9.989285e-01</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>PHF1_cnv</td>\n",
       "      <td>386556.0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>PHF1</td>\n",
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       "<p>1623 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            node1      stat          pval      test       TF  is_driver  \\\n",
       "1366   ZNF554_cnv  248258.0  8.586307e-28  wilkoxon   ZNF554          0   \n",
       "1392    ZNF57_cnv  248258.0  8.586307e-28  wilkoxon    ZNF57          0   \n",
       "157     DOT1L_cnv  248258.0  8.586307e-28  wilkoxon    DOT1L          0   \n",
       "653   ONECUT3_cnv  248258.0  8.586307e-28  wilkoxon  ONECUT3          0   \n",
       "1368   ZNF556_cnv  248258.0  8.586307e-28  wilkoxon   ZNF556          0   \n",
       "...           ...       ...           ...       ...      ...        ...   \n",
       "942    THAP12_cnv  386219.0  9.776895e-01  wilkoxon   THAP12          0   \n",
       "67       BCL6_cnv  386549.0  9.984872e-01  wilkoxon     BCL6          1   \n",
       "1019   ZBTB22_cnv  386556.0  9.989285e-01  wilkoxon   ZBTB22          0   \n",
       "1049    ZBTB9_cnv  386556.0  9.989285e-01  wilkoxon    ZBTB9          0   \n",
       "683      PHF1_cnv  386556.0  9.989285e-01  wilkoxon     PHF1          0   \n",
       "\n",
       "      is_colon_driver  is_disgenet          padj  significant  \n",
       "1366                0            0  1.990797e-25         True  \n",
       "1392                0            0  1.990797e-25         True  \n",
       "157                 0            1  1.990797e-25         True  \n",
       "653                 0            0  1.990797e-25         True  \n",
       "1368                0            0  1.990797e-25         True  \n",
       "...               ...          ...           ...          ...  \n",
       "942                 0            0  9.801051e-01        False  \n",
       "67                  0            0  9.989285e-01        False  \n",
       "1019                0            0  9.989285e-01        False  \n",
       "1049                0            0  9.989285e-01        False  \n",
       "683                 0            0  9.989285e-01        False  \n",
       "\n",
       "[1623 rows x 10 columns]"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from statsmodels.stats.multitest import multipletests\n",
    "\n",
    "test_cnv['padj'] = multipletests(test_cnv.pval, method='fdr_bh')[1]\n",
    "test_cnv['significant'] = (test_cnv['padj'] < 0.05)\n",
    "test_cnv.sort_values(by='padj', ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
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       "      <td>9.776895e-01</td>\n",
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      "text/plain": [
       "           node1      stat          pval      test      TF  is_driver  \\\n",
       "455    KLF16_cnv  248258.0  8.586307e-28  wilkoxon   KLF16          0   \n",
       "1366  ZNF554_cnv  248258.0  8.586307e-28  wilkoxon  ZNF554          0   \n",
       "157    DOT1L_cnv  248258.0  8.586307e-28  wilkoxon   DOT1L          0   \n",
       "1368  ZNF556_cnv  248258.0  8.586307e-28  wilkoxon  ZNF556          0   \n",
       "1392   ZNF57_cnv  248258.0  8.586307e-28  wilkoxon   ZNF57          0   \n",
       "...          ...       ...           ...       ...     ...        ...   \n",
       "942   THAP12_cnv  386219.0  9.776895e-01  wilkoxon  THAP12          0   \n",
       "67      BCL6_cnv  386549.0  9.984872e-01  wilkoxon    BCL6          1   \n",
       "1049   ZBTB9_cnv  386556.0  9.989285e-01  wilkoxon   ZBTB9          0   \n",
       "683     PHF1_cnv  386556.0  9.989285e-01  wilkoxon    PHF1          0   \n",
       "1019  ZBTB22_cnv  386556.0  9.989285e-01  wilkoxon  ZBTB22          0   \n",
       "\n",
       "      is_colon_driver  is_disgenet          padj  significant  \n",
       "455                 0            0  1.990797e-25         True  \n",
       "1366                0            0  1.990797e-25         True  \n",
       "157                 0            1  1.990797e-25         True  \n",
       "1368                0            0  1.990797e-25         True  \n",
       "1392                0            0  1.990797e-25         True  \n",
       "...               ...          ...           ...          ...  \n",
       "942                 0            0  9.801051e-01        False  \n",
       "67                  0            0  9.989285e-01        False  \n",
       "1049                0            0  9.989285e-01        False  \n",
       "683                 0            0  9.989285e-01        False  \n",
       "1019                0            0  9.989285e-01        False  \n",
       "\n",
       "[1623 rows x 10 columns]"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_cnv.sort_values(by='stat', ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
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         "1.3130271597490484e-16",
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         "1.3261454647291466e-16",
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         "1.762391510532893e-16",
         "wilkoxon"
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         "4.1003466022734195e-16",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>455</th>\n",
       "      <td>KLF16_cnv</td>\n",
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       "      <td>8.586307e-28</td>\n",
       "      <td>wilkoxon</td>\n",
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       "      <th>1366</th>\n",
       "      <td>ZNF554_cnv</td>\n",
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       "      <td>8.586307e-28</td>\n",
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       "      <th>157</th>\n",
       "      <td>DOT1L_cnv</td>\n",
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       "      <td>8.586307e-28</td>\n",
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       "      <th>1368</th>\n",
       "      <td>ZNF556_cnv</td>\n",
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       "      <td>8.586307e-28</td>\n",
       "      <td>wilkoxon</td>\n",
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       "      <th>1392</th>\n",
       "      <td>ZNF57_cnv</td>\n",
       "      <td>248258.0</td>\n",
       "      <td>8.586307e-28</td>\n",
       "      <td>wilkoxon</td>\n",
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       "      <th>942</th>\n",
       "      <td>THAP12_cnv</td>\n",
       "      <td>386219.0</td>\n",
       "      <td>9.776895e-01</td>\n",
       "      <td>wilkoxon</td>\n",
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       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>BCL6_cnv</td>\n",
       "      <td>386549.0</td>\n",
       "      <td>9.984872e-01</td>\n",
       "      <td>wilkoxon</td>\n",
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       "    <tr>\n",
       "      <th>1049</th>\n",
       "      <td>ZBTB9_cnv</td>\n",
       "      <td>386556.0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>wilkoxon</td>\n",
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       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>PHF1_cnv</td>\n",
       "      <td>386556.0</td>\n",
       "      <td>9.989285e-01</td>\n",
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       "    <tr>\n",
       "      <th>1019</th>\n",
       "      <td>ZBTB22_cnv</td>\n",
       "      <td>386556.0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>wilkoxon</td>\n",
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       "</table>\n",
       "<p>1623 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           node1      stat          pval      test\n",
       "455    KLF16_cnv  248258.0  8.586307e-28  wilkoxon\n",
       "1366  ZNF554_cnv  248258.0  8.586307e-28  wilkoxon\n",
       "157    DOT1L_cnv  248258.0  8.586307e-28  wilkoxon\n",
       "1368  ZNF556_cnv  248258.0  8.586307e-28  wilkoxon\n",
       "1392   ZNF57_cnv  248258.0  8.586307e-28  wilkoxon\n",
       "...          ...       ...           ...       ...\n",
       "942   THAP12_cnv  386219.0  9.776895e-01  wilkoxon\n",
       "67      BCL6_cnv  386549.0  9.984872e-01  wilkoxon\n",
       "1049   ZBTB9_cnv  386556.0  9.989285e-01  wilkoxon\n",
       "683     PHF1_cnv  386556.0  9.989285e-01  wilkoxon\n",
       "1019  ZBTB22_cnv  386556.0  9.989285e-01  wilkoxon\n",
       "\n",
       "[1623 rows x 4 columns]"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.heatmap(dragon_cnv_expression[dragon_cnv_expression['']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
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         "6.906109960923167e-07",
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         "ATF1"
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         "ATF2_cnv",
         "376628.0",
         "0.4320750584180266",
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         "42",
         "ATF3_cnv",
         "336777.0",
         "8.360026315687934e-05",
         "wilkoxon",
         "ATF3"
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         "ATF4_cnv",
         "360341.0",
         "0.038237138720898574",
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         "ATF4"
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         "ATF5_cnv",
         "372054.0",
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         "ATF5"
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        [
         "45",
         "ATF6B_cnv",
         "380582.0",
         "0.6360109872327341",
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         "ATF6B"
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        [
         "46",
         "ATF6_cnv",
         "343922.0",
         "0.0007533494610452773",
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         "ATF6"
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        [
         "47",
         "ATF7_cnv",
         "370277.0",
         "0.19796576323474946",
         "wilkoxon",
         "ATF7"
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        [
         "48",
         "ATMIN_cnv",
         "381973.0",
         "0.7163093001212135",
         "wilkoxon",
         "ATMIN"
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        [
         "49",
         "ATOH1_cnv",
         "379085.0",
         "0.5541552933867508",
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         "ATOH1"
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        "rows": 1623
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       "<style scoped>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>stat</th>\n",
       "      <th>pval</th>\n",
       "      <th>test</th>\n",
       "      <th>TF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>359864.0</td>\n",
       "      <td>3.485955e-02</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>AC008770.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AC023509.3_cnv</td>\n",
       "      <td>370277.0</td>\n",
       "      <td>1.979658e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>AC023509.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AC092835.1_cnv</td>\n",
       "      <td>362104.0</td>\n",
       "      <td>5.323272e-02</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>AC092835.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AC138696.1_cnv</td>\n",
       "      <td>379089.0</td>\n",
       "      <td>5.543670e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>AC138696.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ADNP2_cnv</td>\n",
       "      <td>385499.0</td>\n",
       "      <td>9.323846e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ADNP2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1618</th>\n",
       "      <td>ZSCAN9_cnv</td>\n",
       "      <td>328939.0</td>\n",
       "      <td>5.287814e-06</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZSCAN9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1619</th>\n",
       "      <td>ZXDA_cnv</td>\n",
       "      <td>301717.0</td>\n",
       "      <td>2.034230e-11</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZXDA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1620</th>\n",
       "      <td>ZXDB_cnv</td>\n",
       "      <td>301717.0</td>\n",
       "      <td>2.034230e-11</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZXDB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1621</th>\n",
       "      <td>ZXDC_cnv</td>\n",
       "      <td>334328.0</td>\n",
       "      <td>3.670373e-05</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZXDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1622</th>\n",
       "      <td>ZZZ3_cnv</td>\n",
       "      <td>380329.0</td>\n",
       "      <td>6.218217e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZZZ3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1623 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               node1      stat          pval      test          TF\n",
       "0     AC008770.3_cnv  359864.0  3.485955e-02  wilkoxon  AC008770.3\n",
       "1     AC023509.3_cnv  370277.0  1.979658e-01  wilkoxon  AC023509.3\n",
       "2     AC092835.1_cnv  362104.0  5.323272e-02  wilkoxon  AC092835.1\n",
       "3     AC138696.1_cnv  379089.0  5.543670e-01  wilkoxon  AC138696.1\n",
       "4          ADNP2_cnv  385499.0  9.323846e-01  wilkoxon       ADNP2\n",
       "...              ...       ...           ...       ...         ...\n",
       "1618      ZSCAN9_cnv  328939.0  5.287814e-06  wilkoxon      ZSCAN9\n",
       "1619        ZXDA_cnv  301717.0  2.034230e-11  wilkoxon        ZXDA\n",
       "1620        ZXDB_cnv  301717.0  2.034230e-11  wilkoxon        ZXDB\n",
       "1621        ZXDC_cnv  334328.0  3.670373e-05  wilkoxon        ZXDC\n",
       "1622        ZZZ3_cnv  380329.0  6.218217e-01  wilkoxon        ZZZ3\n",
       "\n",
       "[1623 rows x 5 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_cnv['TF'] = test_cnv.node1.str.split('_').str[0]\n",
    "test_cnv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_cnv = test_cnv.sort_values(by = 'padj', ascending = True).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
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         "wilkoxon",
         "TBX4",
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         "0",
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         "4.3914518030101785e-15",
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         "wilkoxon",
         "SIX1",
         "1",
         "0",
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         "4.678987150555228e-15",
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         "281873.0",
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         "wilkoxon",
         "SIX4",
         "0",
         "0",
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         "4.678987150555228e-15",
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        [
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         "HIF1A_cnv",
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         "HIF1A",
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         "1",
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         "4.678987150555228e-15",
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         "TFAP2B_cnv",
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         "0",
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         "4.678987150555228e-15",
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         "STAT5A",
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         "0",
         "0",
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         "0",
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         "0",
         "1.3581352113244408e-14",
         "True"
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         "0",
         "0",
         "1.8206537676311394e-14",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>node1</th>\n",
       "      <th>stat</th>\n",
       "      <th>pval</th>\n",
       "      <th>test</th>\n",
       "      <th>TF</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1366</td>\n",
       "      <td>ZNF554_cnv</td>\n",
       "      <td>248258.0</td>\n",
       "      <td>8.586307e-28</td>\n",
       "      <td>wilkoxon</td>\n",
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       "      <td>1392</td>\n",
       "      <td>ZNF57_cnv</td>\n",
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       "      <td>8.586307e-28</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZNF57</td>\n",
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       "      <td>1.990797e-25</td>\n",
       "      <td>True</td>\n",
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       "      <td>157</td>\n",
       "      <td>DOT1L_cnv</td>\n",
       "      <td>248258.0</td>\n",
       "      <td>8.586307e-28</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>DOT1L</td>\n",
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       "      <td>1.990797e-25</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>653</td>\n",
       "      <td>ONECUT3_cnv</td>\n",
       "      <td>248258.0</td>\n",
       "      <td>8.586307e-28</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ONECUT3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.990797e-25</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1368</td>\n",
       "      <td>ZNF556_cnv</td>\n",
       "      <td>248258.0</td>\n",
       "      <td>8.586307e-28</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZNF556</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.990797e-25</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1618</th>\n",
       "      <td>942</td>\n",
       "      <td>THAP12_cnv</td>\n",
       "      <td>386219.0</td>\n",
       "      <td>9.776895e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>THAP12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.801051e-01</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1619</th>\n",
       "      <td>67</td>\n",
       "      <td>BCL6_cnv</td>\n",
       "      <td>386549.0</td>\n",
       "      <td>9.984872e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>BCL6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1620</th>\n",
       "      <td>1019</td>\n",
       "      <td>ZBTB22_cnv</td>\n",
       "      <td>386556.0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZBTB22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1621</th>\n",
       "      <td>1049</td>\n",
       "      <td>ZBTB9_cnv</td>\n",
       "      <td>386556.0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>ZBTB9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1622</th>\n",
       "      <td>683</td>\n",
       "      <td>PHF1_cnv</td>\n",
       "      <td>386556.0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>PHF1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.989285e-01</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1623 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      index        node1      stat          pval      test       TF  \\\n",
       "0      1366   ZNF554_cnv  248258.0  8.586307e-28  wilkoxon   ZNF554   \n",
       "1      1392    ZNF57_cnv  248258.0  8.586307e-28  wilkoxon    ZNF57   \n",
       "2       157    DOT1L_cnv  248258.0  8.586307e-28  wilkoxon    DOT1L   \n",
       "3       653  ONECUT3_cnv  248258.0  8.586307e-28  wilkoxon  ONECUT3   \n",
       "4      1368   ZNF556_cnv  248258.0  8.586307e-28  wilkoxon   ZNF556   \n",
       "...     ...          ...       ...           ...       ...      ...   \n",
       "1618    942   THAP12_cnv  386219.0  9.776895e-01  wilkoxon   THAP12   \n",
       "1619     67     BCL6_cnv  386549.0  9.984872e-01  wilkoxon     BCL6   \n",
       "1620   1019   ZBTB22_cnv  386556.0  9.989285e-01  wilkoxon   ZBTB22   \n",
       "1621   1049    ZBTB9_cnv  386556.0  9.989285e-01  wilkoxon    ZBTB9   \n",
       "1622    683     PHF1_cnv  386556.0  9.989285e-01  wilkoxon     PHF1   \n",
       "\n",
       "      is_driver  is_colon_driver  is_disgenet          padj  significant  \n",
       "0             0                0            0  1.990797e-25         True  \n",
       "1             0                0            0  1.990797e-25         True  \n",
       "2             0                0            1  1.990797e-25         True  \n",
       "3             0                0            0  1.990797e-25         True  \n",
       "4             0                0            0  1.990797e-25         True  \n",
       "...         ...              ...          ...           ...          ...  \n",
       "1618          0                0            0  9.801051e-01        False  \n",
       "1619          1                0            0  9.989285e-01        False  \n",
       "1620          0                0            0  9.989285e-01        False  \n",
       "1621          0                0            0  9.989285e-01        False  \n",
       "1622          0                0            0  9.989285e-01        False  \n",
       "\n",
       "[1623 rows x 11 columns]"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_cnv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_cnv['-log10(padj)'] = -np.log10(test_cnv['padj'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 738.333x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot bubble plot of \n",
    "g1 = sns.catplot(data = test_cnv.iloc[:50], y = 'TF', x = '-log10(padj)', kind = 'bar', height = 12, aspect = .6, color = 'grey')\n",
    "g1.savefig(output_folder + 'dragon_cnv_top_tf_wilkoxon.png')\n",
    "g1.savefig(output_folder + 'dragon_cnv_top_tf_wilkoxon.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "node1",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "stat",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "pval",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "test",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "TF",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "is_driver",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "is_colon_driver",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "is_disgenet",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "padj",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "significant",
         "rawType": "bool",
         "type": "boolean"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "816b388b-cba9-41aa-a28a-3732fa5feabf",
       "rows": [
        [
         "44",
         "343",
         "HIF1A_cnv",
         "281873.0",
         "1.3261454647291466e-16",
         "wilkoxon",
         "HIF1A",
         "1",
         "1",
         "0",
         "4.678987150555228e-15",
         "True"
        ],
        [
         "61",
         "128",
         "CUX1_cnv",
         "290817.0",
         "3.8895562026536714e-14",
         "wilkoxon",
         "CUX1",
         "1",
         "1",
         "0",
         "1.0181854382107916e-12",
         "True"
        ],
        [
         "225",
         "817",
         "SMAD3_cnv",
         "317224.0",
         "4.2893097253668157e-08",
         "wilkoxon",
         "SMAD3",
         "1",
         "1",
         "1",
         "3.0803317187036913e-07",
         "True"
        ],
        [
         "263",
         "818",
         "SMAD4_cnv",
         "319092.0",
         "9.770775330286732e-08",
         "wilkoxon",
         "SMAD4",
         "1",
         "1",
         "1",
         "6.006806197369457e-07",
         "True"
        ],
        [
         "342",
         "498",
         "MAX_cnv",
         "326207.0",
         "1.8527337165598979e-06",
         "wilkoxon",
         "MAX",
         "1",
         "1",
         "0",
         "8.640766729818145e-06",
         "True"
        ],
        [
         "445",
         "788",
         "SALL4_cnv",
         "334949.0",
         "4.5376360966976315e-05",
         "wilkoxon",
         "SALL4",
         "1",
         "1",
         "0",
         "0.00016512518800314475",
         "True"
        ],
        [
         "978",
         "412",
         "IKZF3_cnv",
         "360872.0",
         "0.04232045970779717",
         "wilkoxon",
         "IKZF3",
         "1",
         "1",
         "0",
         "0.07015945465347785",
         "False"
        ],
        [
         "1056",
         "967",
         "TP53_cnv",
         "365153.0",
         "0.0906154594748034",
         "wilkoxon",
         "TP53",
         "1",
         "1",
         "1",
         "0.13913802339413994",
         "False"
        ],
        [
         "1163",
         "726",
         "PRDM2_cnv",
         "369650.0",
         "0.18125487395451934",
         "wilkoxon",
         "PRDM2",
         "1",
         "1",
         "0",
         "0.25272908971493546",
         "False"
        ],
        [
         "1324",
         "909",
         "TCF7L2_cnv",
         "376480.0",
         "0.42525498628224534",
         "wilkoxon",
         "TCF7L2",
         "1",
         "1",
         "1",
         "0.5208972398008183",
         "False"
        ]
       ],
       "shape": {
        "columns": 11,
        "rows": 10
       }
      },
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>node1</th>\n",
       "      <th>stat</th>\n",
       "      <th>pval</th>\n",
       "      <th>test</th>\n",
       "      <th>TF</th>\n",
       "      <th>is_driver</th>\n",
       "      <th>is_colon_driver</th>\n",
       "      <th>is_disgenet</th>\n",
       "      <th>padj</th>\n",
       "      <th>significant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>343</td>\n",
       "      <td>HIF1A_cnv</td>\n",
       "      <td>281873.0</td>\n",
       "      <td>1.326145e-16</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>HIF1A</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4.678987e-15</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>128</td>\n",
       "      <td>CUX1_cnv</td>\n",
       "      <td>290817.0</td>\n",
       "      <td>3.889556e-14</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>CUX1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.018185e-12</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>817</td>\n",
       "      <td>SMAD3_cnv</td>\n",
       "      <td>317224.0</td>\n",
       "      <td>4.289310e-08</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>SMAD3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3.080332e-07</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>818</td>\n",
       "      <td>SMAD4_cnv</td>\n",
       "      <td>319092.0</td>\n",
       "      <td>9.770775e-08</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>SMAD4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6.006806e-07</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>498</td>\n",
       "      <td>MAX_cnv</td>\n",
       "      <td>326207.0</td>\n",
       "      <td>1.852734e-06</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>MAX</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8.640767e-06</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>788</td>\n",
       "      <td>SALL4_cnv</td>\n",
       "      <td>334949.0</td>\n",
       "      <td>4.537636e-05</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>SALL4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.651252e-04</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>412</td>\n",
       "      <td>IKZF3_cnv</td>\n",
       "      <td>360872.0</td>\n",
       "      <td>4.232046e-02</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>IKZF3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7.015945e-02</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1056</th>\n",
       "      <td>967</td>\n",
       "      <td>TP53_cnv</td>\n",
       "      <td>365153.0</td>\n",
       "      <td>9.061546e-02</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.391380e-01</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1163</th>\n",
       "      <td>726</td>\n",
       "      <td>PRDM2_cnv</td>\n",
       "      <td>369650.0</td>\n",
       "      <td>1.812549e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>PRDM2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.527291e-01</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1324</th>\n",
       "      <td>909</td>\n",
       "      <td>TCF7L2_cnv</td>\n",
       "      <td>376480.0</td>\n",
       "      <td>4.252550e-01</td>\n",
       "      <td>wilkoxon</td>\n",
       "      <td>TCF7L2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5.208972e-01</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      index       node1      stat          pval      test      TF  is_driver  \\\n",
       "44      343   HIF1A_cnv  281873.0  1.326145e-16  wilkoxon   HIF1A          1   \n",
       "61      128    CUX1_cnv  290817.0  3.889556e-14  wilkoxon    CUX1          1   \n",
       "225     817   SMAD3_cnv  317224.0  4.289310e-08  wilkoxon   SMAD3          1   \n",
       "263     818   SMAD4_cnv  319092.0  9.770775e-08  wilkoxon   SMAD4          1   \n",
       "342     498     MAX_cnv  326207.0  1.852734e-06  wilkoxon     MAX          1   \n",
       "445     788   SALL4_cnv  334949.0  4.537636e-05  wilkoxon   SALL4          1   \n",
       "978     412   IKZF3_cnv  360872.0  4.232046e-02  wilkoxon   IKZF3          1   \n",
       "1056    967    TP53_cnv  365153.0  9.061546e-02  wilkoxon    TP53          1   \n",
       "1163    726   PRDM2_cnv  369650.0  1.812549e-01  wilkoxon   PRDM2          1   \n",
       "1324    909  TCF7L2_cnv  376480.0  4.252550e-01  wilkoxon  TCF7L2          1   \n",
       "\n",
       "      is_colon_driver  is_disgenet          padj  significant  \n",
       "44                  1            0  4.678987e-15         True  \n",
       "61                  1            0  1.018185e-12         True  \n",
       "225                 1            1  3.080332e-07         True  \n",
       "263                 1            1  6.006806e-07         True  \n",
       "342                 1            0  8.640767e-06         True  \n",
       "445                 1            0  1.651252e-04         True  \n",
       "978                 1            0  7.015945e-02        False  \n",
       "1056                1            1  1.391380e-01        False  \n",
       "1163                1            0  2.527291e-01        False  \n",
       "1324                1            1  5.208972e-01        False  "
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_cnv['is_driver'] = 1*(test_cnv['TF'].isin(all_drivers))\n",
    "test_cnv['is_colon_driver'] = 1*(test_cnv['TF'].isin(colon_drivers))\n",
    "test_cnv['is_disgenet'] = 1*(test_cnv['TF'].isin(disgenet_colorectal['Gene']))\n",
    "\n",
    "test_cnv[test_cnv['is_colon_driver']==1].sort_values(by = 'pval')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## StringDB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "#string_protein_id",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "preferred_name",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "protein_size",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "annotation",
         "rawType": "object",
         "type": "string"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "fc0f6a0f-5ee8-4f8a-a9f6-5afd7e0ce905",
       "rows": [
        [
         "0",
         "9606.ENSP00000000233",
         "ARF5",
         "180",
         "ADP-ribosylation factor 5; GTP-binding protein involved in protein trafficking; may modulate vesicle budding and uncoating within the Golgi apparatus. Belongs to the small GTPase superfamily. Arf family."
        ],
        [
         "1",
         "9606.ENSP00000000412",
         "M6PR",
         "277",
         "Cation-dependent mannose-6-phosphate receptor; Transport of phosphorylated lysosomal enzymes from the Golgi complex and the cell surface to lysosomes. Lysosomal enzymes bearing phosphomannosyl residues bind specifically to mannose-6-phosphate receptors in the Golgi apparatus and the resulting receptor-ligand complex is transported to an acidic prelyosomal compartment where the low pH mediates the dissociation of the complex."
        ],
        [
         "2",
         "9606.ENSP00000001008",
         "FKBP4",
         "459",
         "Peptidyl-prolyl cis-trans isomerase FKBP4, N-terminally processed; Immunophilin protein with PPIase and co-chaperone activities. Component of steroid receptors heterocomplexes through interaction with heat-shock protein 90 (HSP90). May play a role in the intracellular trafficking of heterooligomeric forms of steroid hormone receptors between cytoplasm and nuclear compartments. The isomerase activity controls neuronal growth cones via regulation of TRPC1 channel opening. Acts also as a regulator of microtubule dynamics by inhibiting MAPT/TAU ability to promote microtubule assembly. May  [...] "
        ],
        [
         "3",
         "9606.ENSP00000001146",
         "CYP26B1",
         "512",
         "Cytochrome P450 26B1; Involved in the metabolism of retinoic acid (RA), rendering this classical morphogen inactive through oxidation. Involved in the specific inactivation of all-trans-retinoic acid (all-trans-RA), with a preference for the following substrates: all-trans-RA > 9-cis-RA > 13- cis-RA. Generates several hydroxylated forms of RA, including 4-OH-RA, 4-oxo-RA, and 18-OH-RA. Catalyzes the hydroxylation of carbon hydrogen bonds of atRA primarily at C-4. Essential for postnatal survival. Plays a central role in germ cell development: acts by degrading RA in the developing test [...] "
        ],
        [
         "4",
         "9606.ENSP00000002125",
         "NDUFAF7",
         "441",
         "Protein arginine methyltransferase NDUFAF7, mitochondrial; Arginine methyltransferase involved in the assembly or stability of mitochondrial NADH:ubiquinone oxidoreductase complex (complex I). Acts by mediating symmetric dimethylation of 'Arg-118' of NDUFS2 after it assembles into the complex I, stabilizing the early intermediate complex."
        ]
       ],
       "shape": {
        "columns": 4,
        "rows": 5
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>#string_protein_id</th>\n",
       "      <th>preferred_name</th>\n",
       "      <th>protein_size</th>\n",
       "      <th>annotation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9606.ENSP00000000233</td>\n",
       "      <td>ARF5</td>\n",
       "      <td>180</td>\n",
       "      <td>ADP-ribosylation factor 5; GTP-binding protein...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9606.ENSP00000000412</td>\n",
       "      <td>M6PR</td>\n",
       "      <td>277</td>\n",
       "      <td>Cation-dependent mannose-6-phosphate receptor;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9606.ENSP00000001008</td>\n",
       "      <td>FKBP4</td>\n",
       "      <td>459</td>\n",
       "      <td>Peptidyl-prolyl cis-trans isomerase FKBP4, N-t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9606.ENSP00000001146</td>\n",
       "      <td>CYP26B1</td>\n",
       "      <td>512</td>\n",
       "      <td>Cytochrome P450 26B1; Involved in the metaboli...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9606.ENSP00000002125</td>\n",
       "      <td>NDUFAF7</td>\n",
       "      <td>441</td>\n",
       "      <td>Protein arginine methyltransferase NDUFAF7, mi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     #string_protein_id preferred_name  protein_size  \\\n",
       "0  9606.ENSP00000000233           ARF5           180   \n",
       "1  9606.ENSP00000000412           M6PR           277   \n",
       "2  9606.ENSP00000001008          FKBP4           459   \n",
       "3  9606.ENSP00000001146        CYP26B1           512   \n",
       "4  9606.ENSP00000002125        NDUFAF7           441   \n",
       "\n",
       "                                          annotation  \n",
       "0  ADP-ribosylation factor 5; GTP-binding protein...  \n",
       "1  Cation-dependent mannose-6-phosphate receptor;...  \n",
       "2  Peptidyl-prolyl cis-trans isomerase FKBP4, N-t...  \n",
       "3  Cytochrome P450 26B1; Involved in the metaboli...  \n",
       "4  Protein arginine methyltransferase NDUFAF7, mi...  "
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Network\n",
    "stringdb = pd.read_csv('../data/external/9606.protein.links.detailed.v12.0.txt', sep=' ')\n",
    "stringdb.head()\n",
    "# We also need the details for the protein names\n",
    "stringdb_info = pd.read_csv('../data/external/9606.protein.info.v12.0.txt', sep='\\t')\n",
    "stringdb_info.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We rename the proteins with the gene names\n",
    "stringdb['gene1'] = stringdb['protein1'].map(stringdb_info.set_index('#string_protein_id')['preferred_name'])\n",
    "stringdb['gene2'] = stringdb['protein2'].map(stringdb_info.set_index('#string_protein_id')['preferred_name'])\n",
    "# We get the edges\n",
    "stringdb['edge'] = stringdb['gene1'] + '_' + stringdb['gene2']\n",
    "stringdb_edges = set(stringdb['edge']).union(set(stringdb['gene2'] + '_' + stringdb['gene1']))\n",
    "stringdb_genes = set(stringdb['gene1']).union(set(stringdb['gene2']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/2040608550.py:2: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[0. 0. 0. ... 0. 0. 0.]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  stringdb.iloc[:, 2:-3] = 1/1000*stringdb.iloc[:, 2:-3].values\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/2040608550.py:2: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[0. 0. 0. ... 0. 0. 0.]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  stringdb.iloc[:, 2:-3] = 1/1000*stringdb.iloc[:, 2:-3].values\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/2040608550.py:2: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[0. 0. 0. ... 0. 0. 0.]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  stringdb.iloc[:, 2:-3] = 1/1000*stringdb.iloc[:, 2:-3].values\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/2040608550.py:2: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[0.045 0.    0.118 ... 0.    0.    0.049]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  stringdb.iloc[:, 2:-3] = 1/1000*stringdb.iloc[:, 2:-3].values\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/2040608550.py:2: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[0.134 0.128 0.049 ... 0.    0.067 0.063]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  stringdb.iloc[:, 2:-3] = 1/1000*stringdb.iloc[:, 2:-3].values\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/2040608550.py:2: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[0. 0. 0. ... 0. 0. 0.]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  stringdb.iloc[:, 2:-3] = 1/1000*stringdb.iloc[:, 2:-3].values\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/2040608550.py:2: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[0.081 0.07  0.069 ... 0.227 0.146 0.227]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  stringdb.iloc[:, 2:-3] = 1/1000*stringdb.iloc[:, 2:-3].values\n",
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_58714/2040608550.py:2: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[0.173 0.154 0.151 ... 0.226 0.169 0.251]' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  stringdb.iloc[:, 2:-3] = 1/1000*stringdb.iloc[:, 2:-3].values\n"
     ]
    }
   ],
   "source": [
    "# Stringdb values are confidence scores, 0 to 1, multiplied by 1000\n",
    "stringdb.iloc[:, 2:-3] = 1/1000*stringdb.iloc[:, 2:-3].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
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       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZSCAN5A_expression</td>\n",
       "      <td>-0.001190</td>\n",
       "      <td>0.002365</td>\n",
       "      <td>0.000588</td>\n",
       "      <td>0.001778</td>\n",
       "      <td>6.321812e-06</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZSCAN5A</td>\n",
       "      <td>0.001190</td>\n",
       "      <td>0.002365</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.003556</td>\n",
       "      <td>ZZZ3_ZSCAN5A</td>\n",
       "      <td>ZZZ3_expression_ZSCAN5A_expression</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZSCAN9</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZSCAN9_expression</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.001843</td>\n",
       "      <td>0.001278</td>\n",
       "      <td>0.001278</td>\n",
       "      <td>6.372003e-07</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZSCAN9</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.001843</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.001129</td>\n",
       "      <td>ZZZ3_ZSCAN9</td>\n",
       "      <td>ZZZ3_expression_ZSCAN9_expression</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZXDA</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZXDA_expression</td>\n",
       "      <td>0.001551</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0.002120</td>\n",
       "      <td>0.002120</td>\n",
       "      <td>6.481347e-07</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZXDA</td>\n",
       "      <td>0.001551</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.001139</td>\n",
       "      <td>ZZZ3_ZXDA</td>\n",
       "      <td>ZZZ3_expression_ZXDA_expression</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZXDB</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZXDB_expression</td>\n",
       "      <td>0.002013</td>\n",
       "      <td>0.001942</td>\n",
       "      <td>0.001978</td>\n",
       "      <td>0.001978</td>\n",
       "      <td>2.507604e-09</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZXDB</td>\n",
       "      <td>0.002013</td>\n",
       "      <td>0.001942</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>0.000071</td>\n",
       "      <td>ZZZ3_ZXDB</td>\n",
       "      <td>ZZZ3_expression_ZXDB_expression</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZXDC</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZXDC_expression</td>\n",
       "      <td>-0.000425</td>\n",
       "      <td>0.001952</td>\n",
       "      <td>0.000763</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>2.825171e-06</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZXDC</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.001952</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.002377</td>\n",
       "      <td>ZZZ3_ZXDC</td>\n",
       "      <td>ZZZ3_expression_ZXDC_expression</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4258425 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            node1               node2      cms2      cms4  \\\n",
       "edge                                                                        \n",
       "AC008770.3-ADNP2   AC008770.3_cnv    ADNP2_expression -0.000867  0.001317   \n",
       "AC008770.3-ADNP    AC008770.3_cnv            ADNP_cnv  0.000643  0.000043   \n",
       "AC008770.3-ADNP    AC008770.3_cnv     ADNP_expression  0.000369 -0.000656   \n",
       "AC008770.3-AEBP1   AC008770.3_cnv    AEBP1_expression  0.000287 -0.001124   \n",
       "AC008770.3-AEBP2   AC008770.3_cnv    AEBP2_expression -0.001812 -0.000214   \n",
       "...                           ...                 ...       ...       ...   \n",
       "ZZZ3-ZSCAN5A      ZZZ3_expression  ZSCAN5A_expression -0.001190  0.002365   \n",
       "ZZZ3-ZSCAN9       ZZZ3_expression   ZSCAN9_expression  0.000714  0.001843   \n",
       "ZZZ3-ZXDA         ZZZ3_expression     ZXDA_expression  0.001551  0.002689   \n",
       "ZZZ3-ZXDB         ZZZ3_expression     ZXDB_expression  0.002013  0.001942   \n",
       "ZZZ3-ZXDC         ZZZ3_expression     ZXDC_expression -0.000425  0.001952   \n",
       "\n",
       "                      mean  abs_mean           var  node1_type  node2_type  \\\n",
       "edge                                                                         \n",
       "AC008770.3-ADNP2  0.000225  0.001092  2.385443e-06         cnv  expression   \n",
       "AC008770.3-ADNP   0.000343  0.000343  1.797459e-07         cnv         cnv   \n",
       "AC008770.3-ADNP  -0.000143  0.000513  5.257575e-07         cnv  expression   \n",
       "AC008770.3-AEBP1 -0.000419  0.000705  9.952867e-07         cnv  expression   \n",
       "AC008770.3-AEBP2 -0.001013  0.001013  1.275843e-06         cnv  expression   \n",
       "...                    ...       ...           ...         ...         ...   \n",
       "ZZZ3-ZSCAN5A      0.000588  0.001778  6.321812e-06  expression  expression   \n",
       "ZZZ3-ZSCAN9       0.001278  0.001278  6.372003e-07  expression  expression   \n",
       "ZZZ3-ZXDA         0.002120  0.002120  6.481347e-07  expression  expression   \n",
       "ZZZ3-ZXDB         0.001978  0.001978  2.507604e-09  expression  expression   \n",
       "ZZZ3-ZXDC         0.000763  0.001189  2.825171e-06  expression  expression   \n",
       "\n",
       "                    node1_tf node2_tf  cms2_abs  cms4_abs  same  \\\n",
       "edge                                                              \n",
       "AC008770.3-ADNP2  AC008770.3    ADNP2  0.000867  0.001317     0   \n",
       "AC008770.3-ADNP   AC008770.3     ADNP  0.000643  0.000043     0   \n",
       "AC008770.3-ADNP   AC008770.3     ADNP  0.000369  0.000656     0   \n",
       "AC008770.3-AEBP1  AC008770.3    AEBP1  0.000287  0.001124     0   \n",
       "AC008770.3-AEBP2  AC008770.3    AEBP2  0.001812  0.000214     0   \n",
       "...                      ...      ...       ...       ...   ...   \n",
       "ZZZ3-ZSCAN5A            ZZZ3  ZSCAN5A  0.001190  0.002365     0   \n",
       "ZZZ3-ZSCAN9             ZZZ3   ZSCAN9  0.000714  0.001843     0   \n",
       "ZZZ3-ZXDA               ZZZ3     ZXDA  0.001551  0.002689     0   \n",
       "ZZZ3-ZXDB               ZZZ3     ZXDB  0.002013  0.001942     0   \n",
       "ZZZ3-ZXDC               ZZZ3     ZXDC  0.000425  0.001952     0   \n",
       "\n",
       "                              edge_type  cms2vscms4           edge-tf  \\\n",
       "edge                                                                    \n",
       "AC008770.3-ADNP2         cnv-expression   -0.002184  AC008770.3_ADNP2   \n",
       "AC008770.3-ADNP                 cnv-cnv    0.000600   AC008770.3_ADNP   \n",
       "AC008770.3-ADNP          cnv-expression    0.001025   AC008770.3_ADNP   \n",
       "AC008770.3-AEBP1         cnv-expression    0.001411  AC008770.3_AEBP1   \n",
       "AC008770.3-AEBP2         cnv-expression   -0.001597  AC008770.3_AEBP2   \n",
       "...                                 ...         ...               ...   \n",
       "ZZZ3-ZSCAN5A      expression-expression   -0.003556      ZZZ3_ZSCAN5A   \n",
       "ZZZ3-ZSCAN9       expression-expression   -0.001129       ZZZ3_ZSCAN9   \n",
       "ZZZ3-ZXDA         expression-expression   -0.001139         ZZZ3_ZXDA   \n",
       "ZZZ3-ZXDB         expression-expression    0.000071         ZZZ3_ZXDB   \n",
       "ZZZ3-ZXDC         expression-expression   -0.002377         ZZZ3_ZXDC   \n",
       "\n",
       "                                                edge  \n",
       "edge                                                  \n",
       "AC008770.3-ADNP2     AC008770.3_cnv_ADNP2_expression  \n",
       "AC008770.3-ADNP              AC008770.3_cnv_ADNP_cnv  \n",
       "AC008770.3-ADNP       AC008770.3_cnv_ADNP_expression  \n",
       "AC008770.3-AEBP1     AC008770.3_cnv_AEBP1_expression  \n",
       "AC008770.3-AEBP2     AC008770.3_cnv_AEBP2_expression  \n",
       "...                                              ...  \n",
       "ZZZ3-ZSCAN5A      ZZZ3_expression_ZSCAN5A_expression  \n",
       "ZZZ3-ZSCAN9        ZZZ3_expression_ZSCAN9_expression  \n",
       "ZZZ3-ZXDA            ZZZ3_expression_ZXDA_expression  \n",
       "ZZZ3-ZXDB            ZZZ3_expression_ZXDB_expression  \n",
       "ZZZ3-ZXDC            ZZZ3_expression_ZXDC_expression  \n",
       "\n",
       "[4258425 rows x 18 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dragon['edge-tf'] = dragon['node1_tf'] + '_' + dragon['node2_tf']\n",
    "dragon['edge'] = dragon['node1'] + '_' + dragon['node2']\n",
    "dragon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "edge",
         "rawType": "object",
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         "type": "string"
        },
        {
         "name": "node2",
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         "type": "string"
        },
        {
         "name": "cms2",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "cms4",
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        {
         "name": "mean",
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        },
        {
         "name": "abs_mean",
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        {
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         "name": "cms2_abs",
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        {
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        {
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        {
         "name": "stringdb",
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        },
        {
         "name": "isin_stringdb",
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         "type": "boolean"
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       "conversionMethod": "pd.DataFrame",
       "ref": "21542d5b-b755-4a85-a228-cacbbbca2a67",
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         "AC008770.3_cnv",
         "BACH1_cnv",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>node1</th>\n",
       "      <th>node2</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>mean</th>\n",
       "      <th>abs_mean</th>\n",
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       "      <th>cms4_abs</th>\n",
       "      <th>same</th>\n",
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       "      <th>edge-tf</th>\n",
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       "      <th>stringdb</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>edge</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP2</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP2_expression</td>\n",
       "      <td>-0.000867</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.001092</td>\n",
       "      <td>2.385443e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP2</td>\n",
       "      <td>0.000867</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.002184</td>\n",
       "      <td>AC008770.3_ADNP2</td>\n",
       "      <td>AC008770.3_cnv_ADNP2_expression</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP_cnv</td>\n",
       "      <td>0.000643</td>\n",
       "      <td>0.000043</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>1.797459e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>cnv</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP</td>\n",
       "      <td>0.000643</td>\n",
       "      <td>0.000043</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-cnv</td>\n",
       "      <td>0.000600</td>\n",
       "      <td>AC008770.3_ADNP</td>\n",
       "      <td>AC008770.3_cnv_ADNP_cnv</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-ADNP</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>ADNP_expression</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>-0.000656</td>\n",
       "      <td>-0.000143</td>\n",
       "      <td>0.000513</td>\n",
       "      <td>5.257575e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>ADNP</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>0.000656</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.001025</td>\n",
       "      <td>AC008770.3_ADNP</td>\n",
       "      <td>AC008770.3_cnv_ADNP_expression</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AEBP1</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP1_expression</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>-0.001124</td>\n",
       "      <td>-0.000419</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>9.952867e-07</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>AEBP1</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>0.001124</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>0.001411</td>\n",
       "      <td>AC008770.3_AEBP1</td>\n",
       "      <td>AC008770.3_cnv_AEBP1_expression</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC008770.3-AEBP2</th>\n",
       "      <td>AC008770.3_cnv</td>\n",
       "      <td>AEBP2_expression</td>\n",
       "      <td>-0.001812</td>\n",
       "      <td>-0.000214</td>\n",
       "      <td>-0.001013</td>\n",
       "      <td>0.001013</td>\n",
       "      <td>1.275843e-06</td>\n",
       "      <td>cnv</td>\n",
       "      <td>expression</td>\n",
       "      <td>AC008770.3</td>\n",
       "      <td>AEBP2</td>\n",
       "      <td>0.001812</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>0</td>\n",
       "      <td>cnv-expression</td>\n",
       "      <td>-0.001597</td>\n",
       "      <td>AC008770.3_AEBP2</td>\n",
       "      <td>AC008770.3_cnv_AEBP2_expression</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZSCAN5A</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZSCAN5A_expression</td>\n",
       "      <td>-0.001190</td>\n",
       "      <td>0.002365</td>\n",
       "      <td>0.000588</td>\n",
       "      <td>0.001778</td>\n",
       "      <td>6.321812e-06</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZSCAN5A</td>\n",
       "      <td>0.001190</td>\n",
       "      <td>0.002365</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.003556</td>\n",
       "      <td>ZZZ3_ZSCAN5A</td>\n",
       "      <td>ZZZ3_expression_ZSCAN5A_expression</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZSCAN9</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZSCAN9_expression</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.001843</td>\n",
       "      <td>0.001278</td>\n",
       "      <td>0.001278</td>\n",
       "      <td>6.372003e-07</td>\n",
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       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZSCAN9</td>\n",
       "      <td>0.000714</td>\n",
       "      <td>0.001843</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.001129</td>\n",
       "      <td>ZZZ3_ZSCAN9</td>\n",
       "      <td>ZZZ3_expression_ZSCAN9_expression</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZXDA</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZXDA_expression</td>\n",
       "      <td>0.001551</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0.002120</td>\n",
       "      <td>0.002120</td>\n",
       "      <td>6.481347e-07</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZXDA</td>\n",
       "      <td>0.001551</td>\n",
       "      <td>0.002689</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.001139</td>\n",
       "      <td>ZZZ3_ZXDA</td>\n",
       "      <td>ZZZ3_expression_ZXDA_expression</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZXDB</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZXDB_expression</td>\n",
       "      <td>0.002013</td>\n",
       "      <td>0.001942</td>\n",
       "      <td>0.001978</td>\n",
       "      <td>0.001978</td>\n",
       "      <td>2.507604e-09</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZXDB</td>\n",
       "      <td>0.002013</td>\n",
       "      <td>0.001942</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>0.000071</td>\n",
       "      <td>ZZZ3_ZXDB</td>\n",
       "      <td>ZZZ3_expression_ZXDB_expression</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZZZ3-ZXDC</th>\n",
       "      <td>ZZZ3_expression</td>\n",
       "      <td>ZXDC_expression</td>\n",
       "      <td>-0.000425</td>\n",
       "      <td>0.001952</td>\n",
       "      <td>0.000763</td>\n",
       "      <td>0.001189</td>\n",
       "      <td>2.825171e-06</td>\n",
       "      <td>expression</td>\n",
       "      <td>expression</td>\n",
       "      <td>ZZZ3</td>\n",
       "      <td>ZXDC</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.001952</td>\n",
       "      <td>0</td>\n",
       "      <td>expression-expression</td>\n",
       "      <td>-0.002377</td>\n",
       "      <td>ZZZ3_ZXDC</td>\n",
       "      <td>ZZZ3_expression_ZXDC_expression</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4258425 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            node1               node2      cms2      cms4  \\\n",
       "edge                                                                        \n",
       "AC008770.3-ADNP2   AC008770.3_cnv    ADNP2_expression -0.000867  0.001317   \n",
       "AC008770.3-ADNP    AC008770.3_cnv            ADNP_cnv  0.000643  0.000043   \n",
       "AC008770.3-ADNP    AC008770.3_cnv     ADNP_expression  0.000369 -0.000656   \n",
       "AC008770.3-AEBP1   AC008770.3_cnv    AEBP1_expression  0.000287 -0.001124   \n",
       "AC008770.3-AEBP2   AC008770.3_cnv    AEBP2_expression -0.001812 -0.000214   \n",
       "...                           ...                 ...       ...       ...   \n",
       "ZZZ3-ZSCAN5A      ZZZ3_expression  ZSCAN5A_expression -0.001190  0.002365   \n",
       "ZZZ3-ZSCAN9       ZZZ3_expression   ZSCAN9_expression  0.000714  0.001843   \n",
       "ZZZ3-ZXDA         ZZZ3_expression     ZXDA_expression  0.001551  0.002689   \n",
       "ZZZ3-ZXDB         ZZZ3_expression     ZXDB_expression  0.002013  0.001942   \n",
       "ZZZ3-ZXDC         ZZZ3_expression     ZXDC_expression -0.000425  0.001952   \n",
       "\n",
       "                      mean  abs_mean           var  node1_type  node2_type  \\\n",
       "edge                                                                         \n",
       "AC008770.3-ADNP2  0.000225  0.001092  2.385443e-06         cnv  expression   \n",
       "AC008770.3-ADNP   0.000343  0.000343  1.797459e-07         cnv         cnv   \n",
       "AC008770.3-ADNP  -0.000143  0.000513  5.257575e-07         cnv  expression   \n",
       "AC008770.3-AEBP1 -0.000419  0.000705  9.952867e-07         cnv  expression   \n",
       "AC008770.3-AEBP2 -0.001013  0.001013  1.275843e-06         cnv  expression   \n",
       "...                    ...       ...           ...         ...         ...   \n",
       "ZZZ3-ZSCAN5A      0.000588  0.001778  6.321812e-06  expression  expression   \n",
       "ZZZ3-ZSCAN9       0.001278  0.001278  6.372003e-07  expression  expression   \n",
       "ZZZ3-ZXDA         0.002120  0.002120  6.481347e-07  expression  expression   \n",
       "ZZZ3-ZXDB         0.001978  0.001978  2.507604e-09  expression  expression   \n",
       "ZZZ3-ZXDC         0.000763  0.001189  2.825171e-06  expression  expression   \n",
       "\n",
       "                    node1_tf node2_tf  cms2_abs  cms4_abs  same  \\\n",
       "edge                                                              \n",
       "AC008770.3-ADNP2  AC008770.3    ADNP2  0.000867  0.001317     0   \n",
       "AC008770.3-ADNP   AC008770.3     ADNP  0.000643  0.000043     0   \n",
       "AC008770.3-ADNP   AC008770.3     ADNP  0.000369  0.000656     0   \n",
       "AC008770.3-AEBP1  AC008770.3    AEBP1  0.000287  0.001124     0   \n",
       "AC008770.3-AEBP2  AC008770.3    AEBP2  0.001812  0.000214     0   \n",
       "...                      ...      ...       ...       ...   ...   \n",
       "ZZZ3-ZSCAN5A            ZZZ3  ZSCAN5A  0.001190  0.002365     0   \n",
       "ZZZ3-ZSCAN9             ZZZ3   ZSCAN9  0.000714  0.001843     0   \n",
       "ZZZ3-ZXDA               ZZZ3     ZXDA  0.001551  0.002689     0   \n",
       "ZZZ3-ZXDB               ZZZ3     ZXDB  0.002013  0.001942     0   \n",
       "ZZZ3-ZXDC               ZZZ3     ZXDC  0.000425  0.001952     0   \n",
       "\n",
       "                              edge_type  cms2vscms4           edge-tf  \\\n",
       "edge                                                                    \n",
       "AC008770.3-ADNP2         cnv-expression   -0.002184  AC008770.3_ADNP2   \n",
       "AC008770.3-ADNP                 cnv-cnv    0.000600   AC008770.3_ADNP   \n",
       "AC008770.3-ADNP          cnv-expression    0.001025   AC008770.3_ADNP   \n",
       "AC008770.3-AEBP1         cnv-expression    0.001411  AC008770.3_AEBP1   \n",
       "AC008770.3-AEBP2         cnv-expression   -0.001597  AC008770.3_AEBP2   \n",
       "...                                 ...         ...               ...   \n",
       "ZZZ3-ZSCAN5A      expression-expression   -0.003556      ZZZ3_ZSCAN5A   \n",
       "ZZZ3-ZSCAN9       expression-expression   -0.001129       ZZZ3_ZSCAN9   \n",
       "ZZZ3-ZXDA         expression-expression   -0.001139         ZZZ3_ZXDA   \n",
       "ZZZ3-ZXDB         expression-expression    0.000071         ZZZ3_ZXDB   \n",
       "ZZZ3-ZXDC         expression-expression   -0.002377         ZZZ3_ZXDC   \n",
       "\n",
       "                                                edge  stringdb  isin_stringdb  \n",
       "edge                                                                           \n",
       "AC008770.3-ADNP2     AC008770.3_cnv_ADNP2_expression     False          False  \n",
       "AC008770.3-ADNP              AC008770.3_cnv_ADNP_cnv     False          False  \n",
       "AC008770.3-ADNP       AC008770.3_cnv_ADNP_expression     False          False  \n",
       "AC008770.3-AEBP1     AC008770.3_cnv_AEBP1_expression     False          False  \n",
       "AC008770.3-AEBP2     AC008770.3_cnv_AEBP2_expression     False          False  \n",
       "...                                              ...       ...            ...  \n",
       "ZZZ3-ZSCAN5A      ZZZ3_expression_ZSCAN5A_expression     False           True  \n",
       "ZZZ3-ZSCAN9        ZZZ3_expression_ZSCAN9_expression     False           True  \n",
       "ZZZ3-ZXDA            ZZZ3_expression_ZXDA_expression     False           True  \n",
       "ZZZ3-ZXDB            ZZZ3_expression_ZXDB_expression     False           True  \n",
       "ZZZ3-ZXDC            ZZZ3_expression_ZXDC_expression     False           True  \n",
       "\n",
       "[4258425 rows x 20 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now we annotate the dragon edges with the stringdb edges\n",
    "dragon['stringdb'] = dragon['edge-tf'].isin(stringdb_edges)\n",
    "# This is sleecting for the genes that are in strindb, the problem is that we can't assess edges that were not sampled\n",
    "# at all\n",
    "dragon['isin_stringdb'] = dragon['node1_tf'].isin(stringdb_genes) & dragon['node2_tf'].isin(stringdb_genes)\n",
    "dragon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's actually merge the tables\n",
    "stringdb_double = pd.concat([stringdb, stringdb.rename(columns = {'gene1':'gene2','gene2':'gene1'})], axis = 0)\n",
    "stringdb_double.edge = stringdb_double['gene1'] + '_' + stringdb_double['gene2']\n",
    "df_dragon_stringdb = dragon.merge(stringdb_double, left_on = [\"node1_tf\",\"node2_tf\"], right_on = [\"gene1\",\"gene2\"], how = 'left', suffixes=['_dragon','_stringdb'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# keep only possible edges where both genes are in stringdb\n",
    "df_dragon_stringdb = df_dragon_stringdb[df_dragon_stringdb['isin_stringdb'] == True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dragon_stringdb['type1'] = df_dragon_stringdb['node1'].str.split('_').str[1]\n",
    "df_dragon_stringdb['type2'] = df_dragon_stringdb['node2'].str.split('_').str[1]\n",
    "df_dragon_stringdb['edge_type'] = df_dragon_stringdb['type1'] + '-' + df_dragon_stringdb['type2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                 cnv-expression\n",
       "1                        cnv-cnv\n",
       "2                 cnv-expression\n",
       "3                 cnv-expression\n",
       "4                 cnv-expression\n",
       "                   ...          \n",
       "4666728    expression-expression\n",
       "4666729    expression-expression\n",
       "4666730    expression-expression\n",
       "4666731    expression-expression\n",
       "4666732    expression-expression\n",
       "Name: edge_type, Length: 4666733, dtype: object"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dragon_stringdb['edge_type']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_scatter_stringdb(df, x = ['cms1','cms2','cms3','cms4'], y = 'coexpression', savename = None):\n",
    "    sns.set_context(\"notebook\", font_scale=1.5)\n",
    "    \"\"\"Draw scatter plot for stringdb\"\"\"\n",
    "    nc = len(x)\n",
    "    f, ax = plt.subplots(nc, 3, figsize=(nc*5, 10))\n",
    "    colors = ['#80b1d3','#fdb462','#b3b3b3']\n",
    "    for k,col in enumerate(x):\n",
    "        for p, et in enumerate(['cnv-cnv','cnv-expression','expression-expression']):\n",
    "            temp = df[df['edge_type'] == et]\n",
    "            sns.scatterplot(x = col, y = y, data = temp, ax = ax[k,p], color = colors[p], alpha = 0.5)\n",
    "            # Add a regression line\n",
    "            ax[k,p].set_xlabel(col)\n",
    "            ax[k,p].set_ylabel('StringDB(%s)' %y)\n",
    "            ax[k,p].set_title(et)\n",
    "    if savename is not None:\n",
    "        plt.tight_layout()\n",
    "        f.savefig(savename, bbox_inches = 'tight', dpi = 300)\n",
    "            \n",
    "    plt.tight_layout()\n",
    "    return(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#f = draw_scatter_stringdb(df_dragon_stringdb.dropna(), x = ['cms1','cms2','cms3','cms4'], y = 'coexpression', savename = output_folder + 'dragon_stringdb_scatter_coexpression.pdf')\n",
    "f = draw_scatter_stringdb(df_dragon_stringdb.dropna(), x = ['cms2','cms4'], y = 'coexpression', savename = None)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "m1-ml-py10",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
